Triple

T23510813
Position Surface form Disambiguated ID Type / Status
Subject FC Gifu E572415 entity
Predicate hasNickname P39 FINISHED
Object FC Gifu 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: FC Gifu | Statement: [FC Gifu, hasNickname, FC Gifu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Gifu
Context triple: [FC Gifu, hasNickname, FC Gifu]
  • A. FC Gifu chosen
    FC Gifu is a Japanese professional football club based in Gifu Prefecture that competes in the country’s league system.
  • B. Nagoya Grampus
    Nagoya Grampus is a professional Japanese football club that competes in the J1 League and is known for its long history and association with the Toyota group.
  • C. Ehime FC
    Ehime FC is a professional Japanese football club based in Matsuyama, Ehime Prefecture, competing in the J.League system.
  • D. Sanfrecce Hiroshima
    Sanfrecce Hiroshima is a professional Japanese football club based in Hiroshima that competes in the J1 League.
  • E. 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.
  • 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.