Triple

T7612673
Position Surface form Disambiguated ID Type / Status
Subject Regional Municipality of Waterloo E172280 entity
Predicate governsFor P760 FINISHED
Object Wilmot E640379 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: Wilmot | Statement: [Regional Municipality of Waterloo, governsFor, Wilmot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilmot
Context triple: [Regional Municipality of Waterloo, governsFor, Wilmot]
  • A. Wilmot
    Wilmot is the given first name of Hudson Fysh, the Australian aviation pioneer and co-founder of Qantas.
  • B. Wilmot chosen
    Wilmot is a rural township in Ontario, Canada, located within the Regional Municipality of Waterloo and known for its agricultural landscape and small communities such as Baden and New Hamburg.
  • C. Pendleton
    Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
  • D. Winslow
    Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
  • E. Winslow
    Winslow is a small historic market town in Buckinghamshire, England, known for its traditional architecture and rural surroundings.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa23981c81908168ac0ac9add5d8 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86868dce08190b31229ff2e06fe0c completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:55 p.m.