Triple

T9770226
Position Surface form Disambiguated ID Type / Status
Subject Carp E237104 entity
Predicate hasNearbyCommunity P4647 FINISHED
Object Kanata E4292 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: Kanata | Statement: [Carp, hasNearbyCommunity, Kanata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanata
Context triple: [Carp, hasNearbyCommunity, Kanata]
  • A. Kanata—Carleton
    Kanata—Carleton is a Canadian federal electoral district in Ontario that includes the western suburbs and rural areas of Ottawa.
  • B. Ottawa chosen
    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. Vaughan
    Vaughan is a surname of Welsh origin that is notably associated with influential figures such as blues guitarist Stevie Ray Vaughan.
  • E. Vaughan
    Vaughan is a rapidly growing suburban city in the Greater Toronto Area known for its diverse communities, shopping and entertainment complexes, and attractions like Canada’s Wonderland.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0f1dea08190b89bcc192b068c66 completed April 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d20d1b170881908954233f927457a0 completed April 5, 2026, 7:19 a.m.
Created at: March 30, 2026, 8:26 p.m.