Triple

T12804296
Position Surface form Disambiguated ID Type / Status
Subject Tunnel (New York City nightclub) E306102 entity
Predicate neighborhood P988 FINISHED
Object Chelsea E219895 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 | Statement: [Tunnel (New York City nightclub), neighborhood, Chelsea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelsea
Context triple: [Tunnel (New York City nightclub), neighborhood, Chelsea]
  • A. Chelsea
    Chelsea is a small municipality in western Quebec, Canada, known for its scenic natural surroundings and proximity to Gatineau Park.
  • B. Chelsea
    Chelsea is a vampire in the Twilight series’ Volturi coven, known for her power to manipulate emotional bonds and loyalties.
  • C. Chelsea
    Chelsea is an affluent district in West London known for its upscale residential streets, fashionable boutiques, and cultural landmarks along the River Thames.
  • D. Chelsea
    "Chelsea" is a historical work by British writer Thea Holme that portrays the social and cultural life of the Chelsea district in London.
  • E. Chelsea chosen
    Chelsea is a neighborhood on Manhattan’s West Side in New York City, known for its art galleries, nightlife, and historic architecture.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e7e3be48190ba9159c9f1ac2ccd completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e25d24e481908253e1af630835f1 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 5:30 p.m.