Triple

T1450181
Position Surface form Disambiguated ID Type / Status
Subject Herald Square E31271 entity
Predicate partOf P40 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: [Herald Square, partOf, Garment District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garment District
Context triple: [Herald Square, partOf, 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. 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.
  • C. SoHo
    SoHo is a fashionable Lower Manhattan neighborhood known for its cast-iron architecture, art galleries, and upscale boutiques.
  • D. Flatiron District
    The Flatiron District is a Manhattan neighborhood known for its iconic Flatiron Building, historic architecture, and role as a hub for tech companies and trendy dining.
  • E. Diamond District
    Diamond District is a famed New York City neighborhood known for its dense concentration of jewelry shops and diamond dealers.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c55d923c8190957756f834f94462 completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada962149881908c6ecba8347e22d7 completed March 8, 2026, 4:52 p.m.
Created at: March 1, 2026, 8 p.m.