Triple

T2588028
Position Surface form Disambiguated ID Type / Status
Subject English-speaking Canada E58050 entity
Predicate hasUrbanCenters P11388 FINISHED
Object Toronto E1525 NE FINISHED

How this triple was built (3 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: [English-speaking Canada, hasUrbanCenters, Toronto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto
Context triple: [English-speaking Canada, hasUrbanCenters, 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 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.
  • C. 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.
  • 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUrbanCenters
Context triple: [English-speaking Canada, hasUrbanCenters, Toronto]
  • A. hasSuburbanAreas
    Indicates that a place includes or is associated with surrounding residential suburban districts or neighborhoods.
  • B. containsUrbanArea chosen
    Indicates that a geographic region fully or partially encompasses an urbanized area within its boundaries.
  • C. isUrbanized
    Indicates that a place or area has been developed with dense human settlement, infrastructure, and built environment characteristic of a city or town.
  • D. hasUrbanFeature
    Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
  • E. hasPopulationCenterType
    Indicates the classification of a population center by its type, such as city, town, village, or other settlement category.
  • F. None of above.

Provenance (4 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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd3fd1d608190a0cf0d12a9e6ce59 completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc25d9348190a216c53d1c7f8820 completed March 11, 2026, 5:22 a.m.
PD Predicate disambiguation batch_69abd0d19308819089ee942513d567a4 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:49 p.m.