Triple

T19986897
Position Surface form Disambiguated ID Type / Status
Subject Autoroute 25 E493955 entity
Predicate region P40 FINISHED
Object Laurentides 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: Laurentides | Statement: [Autoroute 25, region, Laurentides]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurentides
Context triple: [Autoroute 25, region, Laurentides]
  • A. Laurentides
    Laurentides is a region in southwestern Quebec, Canada, known for its mountainous landscapes, forests, and popular year-round outdoor recreation.
  • B. Laurentien
    Laurentien is a Dutch princess, writer, and literacy advocate, best known as Princess Laurentien of the Netherlands.
  • C. Laurentides administrative region chosen
    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.
  • D. Mauricie
    Mauricie is a central region of Quebec, Canada, known for its vast forests, rivers, and lakes, and for being part of the traditional territory of the Atikamekw people.
  • E. Quebec–Labrador Peninsula region
    The Quebec–Labrador Peninsula region is a vast, sparsely populated area in northeastern Canada encompassing much of northern Quebec and Labrador, known for its rugged terrain, subarctic climate, and extensive wilderness.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d16f60c81909ba02c0a3429ecae completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:29 p.m.