Triple

T8934007
Position Surface form Disambiguated ID Type / Status
Subject James Debbah E212728 entity
Predicate memberOfSportsTeam P330 FINISHED
Object OGC Nice E313918 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: OGC Nice | Statement: [James Debbah, memberOfSportsTeam, OGC Nice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OGC Nice
Context triple: [James Debbah, memberOfSportsTeam, OGC Nice]
  • A. OGC Nice chosen
    OGC Nice is a professional French football club based in Nice that competes in Ligue 1 and is known for its long history and passionate Mediterranean fanbase.
  • B. Orry
    Orry is the given name of Orry-Kelly, the acclaimed Australian costume designer who won multiple Academy Awards for his work in Hollywood cinema.
  • C. Corine
    Corine is a feminine given name used in various European countries, often considered a variant of "Corinne."
  • D. Jongny
    Jongny is a small municipality in the canton of Vaud in western Switzerland, situated above Lake Geneva in the Riviera-Pays-d’Enhaut district.
  • E. Sophia Antipolis
    Sophia Antipolis is a major technology and research park in southeastern France, known as a European hub for telecommunications, information technology, and innovation.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc668fa87c8190bfeda820368b89e4 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1d965cc8190bad0a990df318698 completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:57 p.m.