Triple

T1090645
Position Surface form Disambiguated ID Type / Status
Subject Broadway (Manhattan street) E24154 entity
Predicate passesThrough P225 FINISHED
Object SoHo E54021 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: SoHo | Statement: [Broadway (Manhattan street), passesThrough, SoHo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SoHo
Context triple: [Broadway (Manhattan street), passesThrough, SoHo]
  • A. SoHo chosen
    SoHo is a fashionable Lower Manhattan neighborhood known for its cast-iron architecture, art galleries, and upscale boutiques.
  • B. 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.
  • C. SoHo Square
    SoHo Square is a mixed-use commercial and retail center serving as a key shopping and dining destination in Homewood, Alabama.
  • D. 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.
  • E. 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.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b980c8448190b08c3a9a7e7f4e85 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad36f2940c81908bea3f0242d2d734 completed March 8, 2026, 8:44 a.m.
Created at: March 1, 2026, 7:42 p.m.