Triple

T17570688
Position Surface form Disambiguated ID Type / Status
Subject Arvieu E427927 entity
Predicate historicalRegion P915 FINISHED
Object Rouergue 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: Rouergue | Statement: [Arvieu, historicalRegion, Rouergue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rouergue
Context triple: [Arvieu, historicalRegion, Rouergue]
  • A. Rouergue chosen
    Rouergue is a historic cultural region in southern France, centered around the present-day Aveyron department and known for its rural landscapes, medieval towns, and Occitan heritage.
  • B. Puisaye region
    The Puisaye region is a rural area of north-central France known for its forests, lakes, traditional pottery, and historic villages in the Burgundy and Centre-Val de Loire areas.
  • C. Drôme
    Drôme is a department in southeastern France known for its diverse landscapes, historic towns, and location between the Alps and the Rhône Valley.
  • D. Languedoc
    Languedoc is a historic region in southern France known for its Occitan culture, medieval towns, and long-standing wine-making tradition.
  • E. Pays de Lyons
    Pays de Lyons is a historic and heavily forested natural region in Normandy, France, centered around the Lyons-la-Forêt area and its surrounding villages.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45930b0748190b55b95c523c47460 completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.