Triple

T14617947
Position Surface form Disambiguated ID Type / Status
Subject Manhattan Community District 5 E343136 entity
Predicate contains P35 FINISHED
Object Garment District E73677 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: Garment District | Statement: [Manhattan Community District 5, contains, Garment District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garment District
Context triple: [Manhattan Community District 5, contains, Garment District]
  • A. Garment District chosen
    The Garment District is a New York City neighborhood renowned as the historic center of the American fashion and apparel industry, filled with showrooms, production facilities, and fashion-related businesses.
  • B. Leather District
    The Leather District is a small historic neighborhood in Boston known for its 19th-century brick warehouse buildings and former leather industry.
  • C. Meatpacking District
    The Meatpacking District is a trendy Manhattan neighborhood known for its cobblestone streets, high-end boutiques, nightlife, and the southern end of the High Line park.
  • D. SoHo
    SoHo is a fashionable Lower Manhattan neighborhood known for its cast-iron architecture, art galleries, and upscale boutiques.
  • E. SoHo
    SoHo is a vibrant commercial and entertainment district in Hong Kong known for its trendy restaurants, bars, and nightlife.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46439b88190a4affcc7ccedab6b completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda924c7308190931c03fbac57b0bf completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.