Triple

T22490211
Position Surface form Disambiguated ID Type / Status
Subject Kashiwa Reysol E555993 entity
Predicate rival P437 FINISHED
Object Kashima Antlers NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kashima Antlers | Statement: [Kashiwa Reysol, rival, Kashima Antlers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kashima Antlers
Context triple: [Kashiwa Reysol, rival, Kashima Antlers]
  • A. Kashima Antlers chosen
    Kashima Antlers is a Japanese professional football club renowned as one of the country’s most dominant and historically successful teams.
  • B. Gamba Osaka
    Gamba Osaka is a professional Japanese football club that competes in the J1 League and is known as one of the country's most successful and historic teams.
  • C. Shimizu S-Pulse
    Shimizu S-Pulse is a professional Japanese football club based in Shizuoka, known for competing in the J.League and having a passionate local fanbase.
  • D. Vissel Kobe
    Vissel Kobe is a professional Japanese football club based in Kobe that competes in the J1 League.
  • E. Urawa Reds
    Urawa Reds is a professional Japanese football club based in Saitama, known as one of the most popular and successful teams in the J1 League.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c40930c81908310ac6afd98c62e completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.