Triple

T18769549
Position Surface form Disambiguated ID Type / Status
Subject Fraser Plateau E458979 entity
Predicate hasMajorTown P316 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: [Fraser Plateau, hasMajorTown, Quesnel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quesnel
Context triple: [Fraser Plateau, hasMajorTown, 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. Bois-Franc
    Bois-Franc is a residential neighbourhood in the borough of Saint-Laurent in Montreal, Quebec, known for its planned community design and proximity to public transit.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d8782b4819080513fb46798c4db completed April 20, 2026, 2:20 a.m.
Created at: April 10, 2026, 11:52 a.m.