Triple

T15488314
Position Surface form Disambiguated ID Type / Status
Subject Wellesley Street E377109 entity
Predicate hasIntersection P1018 FINISHED
Object Bay Street unclear NED1 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: Bay Street | Statement: [Wellesley Street, hasIntersection, Bay Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bay Street
Context triple: [Wellesley Street, hasIntersection, Bay Street]
  • A. Bay Street
    Bay Street is the main commercial thoroughfare in downtown Nassau, Bahamas, known for its shops, restaurants, and proximity to popular tourist attractions.
  • B. Bay Street
    Bay Street is a major thoroughfare in downtown Toronto, widely recognized as the center of Canada's financial industry.
  • C. Bay Street
    Bay Street is a major thoroughfare on Staten Island, New York City, running along the northeastern shore and serving as a key commercial and transportation corridor.
  • D. Bay Street
    Bay Street is a roadway in San Francisco, California, running near the city’s northern waterfront and connecting several notable neighborhoods and attractions.
  • E. Water Street
    Water Street is a common street name in many cities, typically located close to a waterfront or harbor area and often associated with historic commercial or maritime districts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03faaca588190b0397bc2e27a522a completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365d45488190b48458092b6ffead completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:48 a.m.