Triple

T15215282
Position Surface form Disambiguated ID Type / Status
Subject Garment Center E363622 entity
Predicate alsoKnownAs P39 FINISHED
Object Fashion District E100186 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 District | Statement: [Garment Center, alsoKnownAs, Fashion District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fashion District
Context triple: [Garment Center, alsoKnownAs, Fashion District]
  • A. Fashion District
    Fashion District is a downtown Toronto neighborhood known for its historic garment industry roots, trendy boutiques, and vibrant urban culture.
  • B. Fashion District chosen
    The Fashion District is a vibrant neighborhood in Downtown Los Angeles known as a major hub for wholesale and retail apparel, textiles, and accessories.
  • C. Arena District
    The Arena District is a mixed-use neighborhood in downtown Columbus, Ohio, known for its sports venues, entertainment options, restaurants, and modern residential and office developments.
  • D. Arena District
    The Arena District is a central neighborhood in downtown Tulsa known for its sports and entertainment venues, event spaces, and surrounding dining and nightlife options.
  • E. Garment District
    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.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076e4348819091fa91c1562e7c5c completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed343f51481908f04c35d37b39ad2 completed May 9, 2026, 6:25 a.m.
Created at: April 10, 2026, 3:11 a.m.