Triple

T17756205
Position Surface form Disambiguated ID Type / Status
Subject Digne-les-Bains E443245 entity
Predicate twinTown P1072 FINISHED
Object Carmaux 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: Carmaux | Statement: [Digne-les-Bains, twinTown, Carmaux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmaux
Context triple: [Digne-les-Bains, twinTown, Carmaux]
  • A. Carmaux chosen
    Carmaux is a small industrial town in southern France known historically for its coal mining and glassmaking industries.
  • B. Montélimar
    Montélimar is a town in southeastern France, known as the "gateway to Provence" and famous for its traditional nougat confectionery.
  • C. Colomiers
    Colomiers is a suburban city in southwestern France, known as part of the Toulouse metropolitan area and for its strong aerospace and industrial sectors.
  • D. Mirecourt
    Mirecourt is a small town in northeastern France renowned for its centuries-old tradition of violin and stringed instrument making.
  • E. Lodève
    Lodève is a historic town in southern France’s Hérault department, known for its medieval architecture, textile heritage, and scenic setting near the Lac du Salagou.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4841f29f08190b1a1e9624d88120f completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 10:10 a.m.