Triple

T14817174
Position Surface form Disambiguated ID Type / Status
Subject Val-d’Isère E348346 entity
Predicate hasRiver P165 FINISHED
Object Isère E18552 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: [Val-d’Isère, hasRiver, Isère]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isère
Context triple: [Val-d’Isère, hasRiver, Isère]
  • A. Isère
    Isère is a department in southeastern France known for its Alpine landscapes, winter sports resorts, and the city of Grenoble.
  • B. Isère River chosen
    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. Isère basin
    The Isère basin is the river catchment area in southeastern France that collects the waters of the Isère River and its tributaries across the Alpine region.
  • E. 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.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe2c1ec81908b3dff7a5d0e85d0 completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae005644819098937cedb53202c5 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 1:50 a.m.