Triple

T14817166
Position Surface form Disambiguated ID Type / Status
Subject Val-d’Isère E348346 entity
Predicate hasNearbyAirport P4363 FINISHED
Object Chambéry Airport E237995 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: Chambéry Airport | Statement: [Val-d’Isère, hasNearbyAirport, Chambéry Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chambéry Airport
Context triple: [Val-d’Isère, hasNearbyAirport, Chambéry Airport]
  • A. Chambéry Airport chosen
    Chambéry Airport is a regional airport in southeastern France that primarily serves the city of Chambéry and nearby Alpine ski destinations.
  • B. Grenoble Alpes–Isère Airport
    Grenoble Alpes–Isère Airport is a regional French airport serving the city of Grenoble and the surrounding Alps, known primarily as a gateway for winter sports and ski resorts.
  • C. Sion Airport
    Sion Airport is a regional airport in the Swiss Alps that serves the town of Sion and nearby ski resorts, handling both civilian and military flights.
  • D. Dijon-Bourgogne Airport
    Dijon-Bourgogne Airport is a regional airport in eastern France serving the city of Dijon and the surrounding Burgundy (Bourgogne) area.
  • E. Lyon–Bron Airport
    Lyon–Bron Airport is a regional airport in eastern France that primarily handles business, general aviation, and some charter flights for the Lyon area.
  • 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_69fe3897691c819085ef89480e730723 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:50 a.m.