Triple

T19480658
Position Surface form Disambiguated ID Type / Status
Subject CCF E487371 entity
Predicate represents P129 FINISHED
Object Carcassonne Airport 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: Carcassonne Airport | Statement: [CCF, represents, Carcassonne Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carcassonne Airport
Context triple: [CCF, represents, Carcassonne Airport]
  • A. Carcassonne Airport chosen
    Carcassonne Airport is a regional airport in southern France serving the city of Carcassonne and the surrounding Occitanie region, primarily handling low-cost and seasonal tourist flights.
  • B. Nancy-Essey Airport
    Nancy-Essey Airport is a regional airport serving the city of Nancy and its surrounding area in northeastern France.
  • C. Valence-Chabeuil Airport
    Valence-Chabeuil Airport is a regional airport in southeastern France serving the Valence area and surrounding communes in the Drôme department.
  • D. Bourges Airport
    Bourges Airport is a regional public airport serving the city of Bourges in central France, handling general aviation and limited commercial traffic.
  • E. Faya-Largeau Airport
    Faya-Largeau Airport is a regional airport in northern Chad that serves the town of Faya-Largeau and the surrounding Borkou region.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e634393b8081909f5e4c38b2f1a9b7 completed April 20, 2026, 2:12 p.m.
Created at: April 10, 2026, 1:39 p.m.