Triple

T18654626
Position Surface form Disambiguated ID Type / Status
Subject County of Dreux E456026 entity
Predicate historicalRegion P915 FINISHED
Object Beauce 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: Beauce | Statement: [County of Dreux, historicalRegion, Beauce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beauce
Context triple: [County of Dreux, historicalRegion, Beauce]
  • A. Beauce chosen
    Beauce is a fertile agricultural plain in north-central France, often called the country’s “granary” for its extensive cereal production.
  • B. Beauce
    Beauce is a federal electoral district in Quebec, Canada, known for its conservative-leaning rural communities and long history of electing right-of-center representatives.
  • C. Beauséjour region
    The Beauséjour region is an Acadian area in southeastern New Brunswick known for its French-speaking communities, cultural heritage, and coastal landscapes.
  • D. Tête Jaune Cache region
    The Tête Jaune Cache region is a small rural area in east-central British Columbia known historically as a fur-trading and transportation hub near the Rocky Mountains and the Fraser River.
  • E. Charlevoix region
    The Charlevoix region is a picturesque area of Quebec, Canada, known for its dramatic St. Lawrence River landscapes, mountainous terrain, and historic rural communities.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55084012881909b9dd60565011c86 completed April 19, 2026, 10 p.m.
Created at: April 10, 2026, 11:47 a.m.