Triple

T3488911
Position Surface form Disambiguated ID Type / Status
Subject Garment District E73677 entity
Predicate alsoKnownAs P39 FINISHED
Object Fashion Center E363622 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: Fashion Center | Statement: [Garment District, alsoKnownAs, Fashion Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fashion Center
Context triple: [Garment District, alsoKnownAs, Fashion Center]
  • A. Garment Center chosen
    Garment Center is a major New York City neighborhood known as the historic hub of the American fashion and apparel industry.
  • B. Bergdorf Goodman store
    Bergdorf Goodman store is a luxury department store in New York City renowned for its high-end fashion, designer brands, and iconic window displays.
  • C. Barneys New York department store
    Barneys New York department store was a luxury American department store chain renowned for its high-end designer fashion and influential role in contemporary retail culture.
  • D. Central Park Mall
    Central Park Mall is a broad, tree-lined pedestrian promenade in New York City's Central Park, known for its iconic Literary Walk and gathering spaces.
  • E. Walden Galleria
    Walden Galleria is a large regional shopping mall and entertainment complex serving the Buffalo metropolitan area in western New York.
  • 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_69ad85cca8d4819088494e9f3340fab5 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbb92b3ac8190b8675f5a5e9d4408 completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e6202ec81908c9614102e618fb5 completed March 13, 2026, 3:02 a.m.
Created at: March 8, 2026, 3:18 p.m.