Triple

T1093970
Position Surface form Disambiguated ID Type / Status
Subject Region of Waterloo International Airport E24228 entity
Predicate servesMetropolitanArea P82 FINISHED
Object Kitchener–Cambridge–Waterloo metropolitan area E164649 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: Kitchener–Cambridge–Waterloo metropolitan area | Statement: [Region of Waterloo International Airport, servesMetropolitanArea, Kitchener–Cambridge–Waterloo metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kitchener–Cambridge–Waterloo metropolitan area
Context triple: [Region of Waterloo International Airport, servesMetropolitanArea, Kitchener–Cambridge–Waterloo metropolitan area]
  • A. Greater Toronto Area
    The Greater Toronto Area is a large metropolitan region in Ontario, Canada, encompassing Toronto and its surrounding municipalities and suburbs.
  • B. York Region, Ontario
    York Region, Ontario is a rapidly growing regional municipality north of Toronto that encompasses a mix of suburban communities, urban centers, and rural areas within the Greater Toronto Area.
  • C. Region of Waterloo, Ontario chosen
    The Region of Waterloo, Ontario is a regional municipality in southwestern Ontario that includes the cities of Kitchener, Waterloo, and Cambridge, known for its strong tech sector, universities, and mixed urban–rural character.
  • D. Waterloo–Cedar Falls metropolitan area
    The Waterloo–Cedar Falls metropolitan area is a regional urban and economic hub in northeastern Iowa centered around the neighboring cities of Waterloo and Cedar Falls.
  • E. Guelph
    Guelph is a mid-sized Canadian city known for its strong manufacturing base, historic architecture, and the University of Guelph.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b99d1e8c81909cf1178d68d38885 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad158c492c819081988cc99c6f3f0b completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 7:42 p.m.