Triple

T34283132
Position Surface form Disambiguated ID Type / Status
Subject Broadway and 191st Street E879651 entity
Predicate hasComponentStreet P62637 FINISHED
Object Broadway
Broadway is a famous north–south thoroughfare in New York City known for its historic role as a major commercial artery and as the heart of the American theater district.
 E16252 NE FINISHED

How this triple was built (3 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: [Broadway and 191st Street, hasComponentStreet, Broadway]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Broadway
Triple: [Broadway and 191st Street, hasComponentStreet, Broadway]
Generated description
Broadway is a famous north–south thoroughfare in New York City known for its historic role as a major commercial artery and as the heart of the American theater district.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasComponentStreet
Context triple: [Broadway and 191st Street, hasComponentStreet, Broadway]
  • A. hasStreet
    Indicates that an entity is located on, associated with, or identified by a particular street.
  • B. hasStreetNameElement chosen
    Indicates that an address or location includes a specific street name component as part of its full designation.
  • C. hasConnectingStreet
    Indicates that two locations are linked by a street that directly connects them.
  • D. hasStreetLevel
    Indicates that something is located at, accessible from, or directly associated with the street level of a building or area.
  • E. hasStreetPresence
    Indicates that an entity maintains a visible, active, or influential presence in public urban spaces or streets.
  • F. None of above.

Provenance (6 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_69f349b5f6648190b9420d94a4cd16e0 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_6a037c8ae0248190b7e2ce4bf852c22d completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a36e623a9348190ad2bd81f57656f8c completed June 20, 2026, 7:12 p.m.
NEDg Description generation batch_6a36e93435048190b51cb9e7ecab281c completed June 20, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_6a36e9bb55ac819087e417973a23fa0b completed June 20, 2026, 7:27 p.m.
PD Predicate disambiguation batch_6a0379fbe4a08190bfe65ebd141164e9 completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:57 a.m.