Triple

T23395025
Position Surface form Disambiguated ID Type / Status
Subject Pontois E559332 entity
Predicate department P1467 FINISHED
Object Drôme 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: Drôme | Statement: [Pontois, department, Drôme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drôme
Context triple: [Pontois, department, Drôme]
  • A. Drôme chosen
    Drôme is a department in southeastern France known for its diverse landscapes, historic towns, and location between the Alps and the Rhône Valley.
  • B. Haute-Loire
    Haute-Loire is a rural department in south-central France, known for its volcanic landscapes, the upper Loire River valley, and historic towns such as Le Puy-en-Velay.
  • C. Rouergue
    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.
  • D. Comtat Venaissin
    Comtat Venaissin was a historic papal enclave in southeastern France that, together with Avignon, formed a key center of papal temporal power from the Middle Ages until the French Revolution.
  • E. Pays de Santerre
    Pays de Santerre is a historical and agricultural region in northern France, known for its fertile plains and small towns such as Montdidier.
  • 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4db1c888190ace5d58bcc8645c1 completed April 29, 2026, 6:27 a.m.
Created at: April 17, 2026, 5:36 p.m.