Triple

T20062931
Position Surface form Disambiguated ID Type / Status
Subject Capdenac E499528 entity
Predicate hasPart P35 FINISHED
Object Capdenac-le-Haut 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: Capdenac-le-Haut | Statement: [Capdenac, hasPart, Capdenac-le-Haut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capdenac-le-Haut
Context triple: [Capdenac, hasPart, Capdenac-le-Haut]
  • A. Capdenac chosen
    Capdenac is a commune in southwestern France known for its picturesque setting along the Lot River and its historic hilltop village.
  • B. Caudéran
    Caudéran is a residential district in the western part of Bordeaux, France, known for its parks and suburban character.
  • C. Montauroux
    Montauroux is a picturesque commune in southeastern France’s Var department, known for its hilltop setting overlooking the Pays de Fayence and proximity to the French Riviera.
  • D. Roquemaure
    Roquemaure is a historic wine-producing commune in southern France, situated on the right bank of the Rhône River opposite the Châteauneuf-du-Pape area.
  • E. Manosque
    Manosque is a historic town in southeastern France’s Provence region, known for its medieval old town, surrounding lavender fields, and proximity to the Luberon mountains.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66376f2d4819081b9e1b265650e5b completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:39 p.m.