Triple

T11372487
Position Surface form Disambiguated ID Type / Status
Subject Dyckman Street E269375 entity
Predicate crosses P416 FINISHED
Object Broadway E16252 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: Broadway | Statement: [Dyckman Street, crosses, Broadway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Broadway
Context triple: [Dyckman Street, crosses, 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 chosen
    Broadway is a major thoroughfare in New York City famous for its historic theaters and role as the heart of American commercial theater.
  • C. Broadway
    Broadway is a picturesque English village in Worcestershire’s Cotswolds, known for its honey-colored stone buildings, historic High Street, and role as a popular tourist destination.
  • D. Broadway
    Broadway is a major thoroughfare in Cambridge, Massachusetts, running through the city center and connecting key academic, residential, and commercial areas.
  • E. Broadway
    Broadway is a major thoroughfare in Oakland, California, serving as a key commercial and transportation corridor through the city’s downtown.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea8b196881909af9b138661e816d completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5568516a481909ea66cbe53968e84 completed April 19, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:33 p.m.