Triple

T641058
Position Surface form Disambiguated ID Type / Status
Subject Haute-Savoie E16739 entity
Predicate borders P224 FINISHED
Object Isère E62843 NE FINISHED

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: Isère | Statement: [Haute-Savoie, borders, Isère]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isère
Context triple: [Haute-Savoie, borders, Isère]
  • A. Isère chosen
    Isère is a department in southeastern France known for its Alpine landscapes, winter sports resorts, and the city of Grenoble.
  • B. Isère River
    The Isère River is a significant waterway in southeastern France that flows through the Alps and the city of Grenoble before joining the Rhône.
  • C. Ardèche
    Ardèche is a department in southeastern France known for its dramatic river gorges, limestone caves, and scenic rural landscapes.
  • D. Drôme River
    The Drôme River is a scenic waterway in southeastern France known for flowing through the Drôme department and the foothills of the Alps before joining the Rhône.
  • E. Ardèche River
    The Ardèche River is a scenic waterway in south-central France renowned for its dramatic limestone gorges, natural stone arch (Pont d’Arc), and popular canoeing and kayaking routes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49f0189b08190a584b744f36fa761 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6787173e08190bef6734294b60c13 completed March 3, 2026, 5:58 a.m.
Created at: March 1, 2026, 7:36 p.m.