Triple

T4662149
Position Surface form Disambiguated ID Type / Status
Subject King Street West E102557 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Fashion District E268909 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: [King Street West, hasNeighbourhood, Fashion District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fashion District
Context triple: [King Street West, hasNeighbourhood, Fashion District]
  • A. Fashion District chosen
    Fashion District is a downtown Toronto neighborhood known for its historic garment industry roots, trendy boutiques, and vibrant urban culture.
  • B. Fashion District
    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. 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.
  • D. Leather District
    The Leather District is a small historic neighborhood in Boston known for its 19th-century brick warehouse buildings and former leather industry.
  • E. Midtown East
    Midtown East is a bustling commercial and business district in Manhattan, New York City, known for its skyscrapers, corporate offices, and proximity to landmarks like Grand Central Terminal and the United Nations.
  • 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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd632b7fb88190821f213620719d6b completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfafcd3908190aabf7975017ce337 completed March 21, 2026, 1:57 a.m.
Created at: March 20, 2026, 1:15 p.m.