Triple

T22490193
Position Surface form Disambiguated ID Type / Status
Subject Kashiwa Reysol E555993 entity
Predicate shortName P43 FINISHED
Object Reysol 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: Reysol | Statement: [Kashiwa Reysol, shortName, Reysol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reysol
Context triple: [Kashiwa Reysol, shortName, Reysol]
  • A. Kashiwa Reysol chosen
    Kashiwa Reysol is a professional Japanese football club based in Kashiwa, Chiba, that competes in the J.League.
  • B. Júbilo Iwata
    Júbilo Iwata is a professional Japanese football club based in Iwata, Shizuoka, known for its success in the J.League and domestic cup competitions.
  • C. Roasso Kumamoto
    Roasso Kumamoto is a professional Japanese football club based in Kumamoto that competes in the J.League system.
  • D. Sagan Tosu
    Sagan Tosu is a professional Japanese football club based in Tosu, Saga Prefecture, that competes in the J.League.
  • E. Kotoko
    The Kotoko are an ethnic group of fishing and farming communities living around the Lake Chad region in Cameroon, Chad, and Nigeria, known historically for their riverine kingdoms and distinctive Chadic language.
  • 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.