Triple

T14810880
Position Surface form Disambiguated ID Type / Status
Subject Enzo Fernández E348173 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Chelsea F.C. E18489 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: Chelsea F.C. | Statement: [Enzo Fernández, memberOfSportsTeam, Chelsea F.C.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelsea F.C.
Context triple: [Enzo Fernández, memberOfSportsTeam, Chelsea F.C.]
  • A. Chelsea F.C. chosen
    Chelsea F.C. is a professional English football club based in West London that competes in the Premier League and is known for its domestic and European successes.
  • B. Chelsea
    Chelsea is a small, densely populated city in Massachusetts located just across the Mystic River from downtown Boston.
  • C. Chelsea
    Chelsea is a neighborhood on Manhattan’s West Side in New York City, known for its art galleries, nightlife, and historic architecture.
  • D. Chelsea
    Chelsea is a feminine given name of Old English origin that became widely popular in English-speaking countries in the late 20th century.
  • E. Chelsea
    "Chelsea" is a song by Phoebe Bridgers from her debut studio album "Stranger in the Alps."
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf35a5e081909321193ef37099d1 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388d398c81909d275f487cc38d9c completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:46 a.m.