Triple

T23266579
Position Surface form Disambiguated ID Type / Status
Subject Highway 97 E588163 entity
Predicate passesThrough P225 FINISHED
Object Quesnel NE NERFINISHED

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: [Highway 97, passesThrough, Quesnel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quesnel
Context triple: [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. Chanteheux
    Chanteheux is a commune in the Meurthe-et-Moselle department in northeastern France.
  • D. Rouyn
    Rouyn was a former mining town in northwestern Quebec, Canada, that later became part of the city of Rouyn-Noranda through municipal amalgamation.
  • E. Roche-d’Or
    Roche-d’Or is a former Swiss municipality in the canton of Jura that was incorporated into the larger municipality of Haute-Ajoie.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d148adc819088efbf42672604e9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f194cd13b48190a9c282545a34f348 completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:37 p.m.