Triple

T23510833
Position Surface form Disambiguated ID Type / Status
Subject FC Gifu E572415 entity
Predicate hasCategory P87 FINISHED
Object J3 League clubs 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: J3 League clubs | Statement: [FC Gifu, hasCategory, J3 League clubs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J3 League clubs
Context triple: [FC Gifu, hasCategory, J3 League clubs]
  • A. J3 League clubs chosen
    J3 League clubs are professional Japanese football teams that compete in the third tier of the J.League system.
  • B. J3 League
    The J3 League is the third tier of professional football in Japan, sitting below the J1 and J2 Leagues in the national league system.
  • C. Japan Soccer League
    The Japan Soccer League was Japan’s former nationwide top-tier football league that operated from 1965 until it was replaced by the professional J.League in the early 1990s.
  • D. V.League 1
    V.League 1 is the top professional football league in Vietnam, featuring the country’s leading clubs and players.
  • E. J2 League
    The J2 League is the second division of professional football in Japan, sitting below the top-tier J1 League in the country's league system.
  • 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa7e99b081909620c4f951100023 completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:07 p.m.