Triple

T11304573
Position Surface form Disambiguated ID Type / Status
Subject Barkerville E267680 entity
Predicate locatedNear P294 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: [Barkerville, locatedNear, Quesnel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quesnel
Context triple: [Barkerville, locatedNear, 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. Vallières
    Vallières is a commune in the Nord-Est department of Haiti, known as a small rural settlement within the country’s northern region.
  • C. Repentigny
    Repentigny is a suburban city in southwestern Quebec, Canada, located northeast of Montreal along the north shore of the Saint Lawrence River.
  • D. Pointe Croux
    Pointe Croux is a subsidiary summit of the Aiguille Verte in the Mont Blanc massif of the French Alps, known primarily to alpinists and climbers.
  • E. Langelier
    Langelier is a Montreal Metro station in the Mercier–Hochelaga-Maisonneuve borough, serving the Green Line of the city’s rapid transit system.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a7255c81909675fe9ad6d71934 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525b4bdb88190b22d64eb65e97d9d completed April 19, 2026, 6:57 p.m.
Created at: April 8, 2026, 9:32 p.m.