Triple

T14027707
Position Surface form Disambiguated ID Type / Status
Subject Val-d’Or Foreurs E337503 entity
Predicate regionRepresented P82 FINISHED
Object Abitibi region E451796 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: Abitibi region | Statement: [Val-d’Or Foreurs, regionRepresented, Abitibi region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abitibi region
Context triple: [Val-d’Or Foreurs, regionRepresented, Abitibi region]
  • A. Abitibi-Témiscamingue
    Abitibi-Témiscamingue is an administrative region in western Quebec known for its vast forests, mining industry, and numerous lakes.
  • B. Abitibi chosen
    Abitibi is a resource-rich region in western Quebec, Canada, known for its mining, forestry, and dispersed rural communities.
  • C. Lac Region
    The Lac Region is a sparsely populated, conflict-affected area around Lake Chad in western Chad, known for insecurity linked to insurgent and extremist groups.
  • D. Mauricie region
    The Mauricie region is an administrative area in central Quebec, Canada, known for its forests, rivers, and outdoor recreation between Montreal and Quebec City.
  • E. Laurentides administrative region
    The Laurentides administrative region is a regional division of Quebec, Canada, known for its mountainous landscapes, forests, and popular outdoor recreation areas north of Montreal.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa830ac81908cb7df7c9e81e42a completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd192ee1ac81908663ebd2e06784f1 completed May 7, 2026, 10:58 p.m.
Created at: April 9, 2026, 10:20 p.m.