Triple

T8151504
Position Surface form Disambiguated ID Type / Status
Subject Michael Laudrup E190343 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Vissel Kobe E204797 NE FINISHED

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: Vissel Kobe | Statement: [Michael Laudrup, memberOfSportsTeam, Vissel Kobe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vissel Kobe
Context triple: [Michael Laudrup, memberOfSportsTeam, Vissel Kobe]
  • A. Vissel Kobe chosen
    Vissel Kobe is a professional Japanese football club based in Kobe that competes in the J1 League.
  • B. Kashima Antlers
    Kashima Antlers is a Japanese professional football club renowned as one of the country’s most dominant and historically successful teams.
  • C. 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.
  • D. 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.
  • E. Yokohama FC
    Yokohama FC is a Japanese professional football club based in Yokohama that competes in the J.League and is known for its local derby against Yokohama F. Marinos.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4483799c81908e73f9a87ed99185 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0218a3888190a0b224cf93a511de completed April 2, 2026, 5:43 a.m.
Created at: March 30, 2026, 5:37 p.m.