Triple

T13326037
Position Surface form Disambiguated ID Type / Status
Subject Commander of the Royal Canadian Navy E317443 entity
Predicate location P40 FINISHED
Object Ottawa 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: Ottawa | Statement: [Commander of the Royal Canadian Navy, location, Ottawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ottawa
Context triple: [Commander of the Royal Canadian Navy, location, Ottawa]
  • A. 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.
  • 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. Gatineau
    Gatineau is a city in western Quebec, Canada, located across the Ottawa River from Ottawa and forming part of the National Capital Region.
  • D. Toronto–Ottawa
    Toronto–Ottawa is a major intercity travel corridor in Ontario, Canada, linking the country’s largest city with its national capital.
  • E. Toronto
    Toronto is the largest city in Canada and a major cultural, financial, and media hub located in the province of Ontario.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992d3b0881909732fbb8db98e44c completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f2f69a88190b11e61a922786fc4 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:30 p.m.