htkgh-polecat (Entity-Filtered History): leaderboard

Relation prediction on htkgh-polecat, a hyper-relational temporal knowledge hypergraph built from the POLECAT geopolitical event database (Ahrabian, Boxer and Pujara, 2026). Given the 100 most recent earlier events that share an actor with a held-out event, the model chooses its relation among 42 event-type and mode combinations; accuracy in percent on 5,562 test events, higher is better.

Metric: Relation prediction accuracy (%; choose the relation of a held-out POLECAT event among 42 candidates, PLOVER event types combined with their modes, given the 100 most recent earlier events that share a primary entity with it (entity filter on, location and context filters off); stratified test set of 5,562 events from 2019 to July 2024; non-thinking models answer in at most 14 tokens, thinking models in up to 16,384). Source: arxiv.org. Saturation forecast: Around February 2027. 9 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 4B 2507 (Thinking)40.6#1388
2Gemma 3 12B (IT)40#1849
3Qwen 3 8B (Thinking)38.9#1838 (Qwen 3 8B)
4Qwen 3 4B 2507 Instruct36.3#2174
5GPT-OSS-20B (Medium)34.7#1150 (GPT-OSS-20B)
6Gemma 3 4B (IT)32.7#3848
7Qwen 3 8B (Non-reasoning)30.9#1838 (Qwen 3 8B)
8Llama 3.1 8B Instruct24.3#4277
9DeepSeek-R1-Distill-Qwen-7B12.2#8045

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=htkgh-polecat-entity-filtered-history · How It Works · Data refreshed daily, snapshot 2026-11-12.