Triple

T2261490
Position Surface form Disambiguated ID Type / Status
Subject Scarborough railway station E50048 entity
Predicate near P350 FINISHED
Object Scarborough town centre E158191 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: Scarborough town centre | Statement: [Scarborough railway station, near, Scarborough town centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scarborough town centre
Context triple: [Scarborough railway station, near, Scarborough town centre]
  • A. Scarborough Town Centre chosen
    Scarborough Town Centre is a major shopping mall and transit hub located in the Scarborough district of Toronto, Ontario, Canada.
  • B. Scarborough
    Scarborough is a large, diverse district in the eastern part of Toronto known for its multicultural communities, parks, and coastal bluffs along Lake Ontario.
  • C. Scarborough
    Scarborough is a seaside town and popular tourist resort on the North Sea coast of North Yorkshire, England.
  • D. Scarborough
    Scarborough is the main town and administrative center of the island of Tobago in Trinidad and Tobago, known for its port, historic sites, and role as the island’s commercial hub.
  • E. Scarborough Civic Centre
    Scarborough Civic Centre is a major municipal complex in Scarborough, Toronto, housing local government offices, public services, and community facilities.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18aa9d48190893ca32558730e9c completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71cdacb48190bc11e9e0e6b61ba0 completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:48 p.m.