Triple

T4783844
Position Surface form Disambiguated ID Type / Status
Subject César Azpilicueta E106428 entity
Predicate hasPlayedFor P2170 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: [César Azpilicueta, hasPlayedFor, Chelsea F.C.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelsea F.C.
Context triple: [César Azpilicueta, hasPlayedFor, 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 small municipality in western Quebec, Canada, known for its scenic natural surroundings and proximity to Gatineau Park.
  • E. Chelsea
    Chelsea is a vampire in the Twilight series’ Volturi coven, known for her power to manipulate emotional bonds and loyalties.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65ad3a188190872e47e3a3bf504b completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c27ce8c81908253c7639207fd3c completed March 22, 2026, 4:12 a.m.
Created at: March 20, 2026, 1:22 p.m.