Triple

T5645586
Position Surface form Disambiguated ID Type / Status
Subject Etobicoke Creek E124376 entity
Predicate formsBorderBetween P224 FINISHED
Object Toronto E1525 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: Toronto | Statement: [Etobicoke Creek, formsBorderBetween, Toronto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto
Context triple: [Etobicoke Creek, formsBorderBetween, Toronto]
  • A. Toronto chosen
    Toronto is the largest city in Canada and a major cultural, financial, and media hub located in the province of Ontario.
  • B. Ottawa
    Ottawa is the capital city of Canada, located in eastern Ontario along the Ottawa River and known for its federal government institutions, cultural landmarks, and bilingual character.
  • C. Ottawa
    Ottawa are an Algonquian-speaking Indigenous people of North America historically known for their role in Great Lakes trade networks and resistance to European colonial expansion.
  • D. North York
    North York is a major district in the north end of Toronto, Ontario, known for its dense urban development, shopping centers, and mixed residential and commercial areas.
  • E. Wellington, Ontario
    Wellington, Ontario is a small lakeside community in Prince Edward County known for its wineries, beaches, and vibrant arts and culinary scene.
  • 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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022aa650c819088d9046b82fab631 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d9efae4819089c595682e270188 completed March 22, 2026, 11:39 p.m.
Created at: March 22, 2026, 3:41 p.m.