Triple

T15500291
Position Surface form Disambiguated ID Type / Status
Subject British Columbia Highway 97 E378932 entity
Predicate passesThrough P225 FINISHED
Object Quesnel E201194 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: Quesnel | Statement: [British Columbia Highway 97, passesThrough, Quesnel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quesnel
Context triple: [British Columbia Highway 97, passesThrough, Quesnel]
  • A. Quesnel chosen
    Quesnel is a small city in central British Columbia, Canada, known historically as a Cariboo Gold Rush hub and a regional center for the forestry industry.
  • B. Jonquière
    Jonquière is a former city in Quebec, Canada, now a borough of Saguenay, known historically for its industrial development and aluminum production.
  • C. Vallières
    Vallières is a commune in the Nord-Est department of Haiti, known as a small rural settlement within the country’s northern region.
  • D. Quesnel Highland
    Quesnel Highland is a plateau-like upland region in central British Columbia, Canada, characterized by rolling forested terrain and serving as a transitional area between the Cariboo Mountains and the Interior Plateau.
  • E. Repentigny
    Repentigny is a suburban city in southwestern Quebec, Canada, located northeast of Montreal along the north shore of the Saint Lawrence River.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcb4e8c81908e4ab463e3ae252b completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4a9bf88190b7c6b4874abe165f completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:54 a.m.