Triple

T22413440
Position Surface form Disambiguated ID Type / Status
Subject In a Crowd of Thousands E554048 entity
Predicate associatedWith P37 FINISHED
Object Broadway NE NERFINISHED

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: Broadway | Statement: [In a Crowd of Thousands, associatedWith, Broadway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Broadway
Context triple: [In a Crowd of Thousands, associatedWith, Broadway]
  • A. Broadway
    Broadway is a subway station in South Boston on the Massachusetts Bay Transportation Authority (MBTA) system, providing access to the surrounding residential and commercial neighborhoods.
  • B. Broadway
    Broadway is a major thoroughfare in Oakland, California, serving as a key commercial and transportation corridor through the city’s downtown.
  • C. Broadway
    Broadway is a major thoroughfare in downtown Tacoma, Washington, known for its historic buildings, cultural venues, and proximity to the city’s theater and museum district.
  • D. Broadway
    Broadway is a historic thoroughfare in downtown Los Angeles known for its early 20th-century theaters and vibrant commercial activity.
  • E. Broadway
    Broadway is a major historic avenue in downtown Winnipeg, Manitoba, known for its wide, tree-lined boulevard and prominent civic and commercial buildings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1594496348190ba25dc0193d092f2 completed April 29, 2026, 1:05 a.m.
Created at: April 16, 2026, 8:46 p.m.