Triple

T12813690
Position Surface form Disambiguated ID Type / Status
Subject Toronto street network E306335 entity
Predicate includesRoad P85887 FINISHED
Object Bay Street E56878 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: [Toronto street network, includesRoad, Bay Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bay Street
Context triple: [Toronto street network, includesRoad, 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 chosen
    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.

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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96facb2d48190bc12efc00c9da360 completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ecc83b88190a6f1ab0bb1ebaf76 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.