Triple

T16161179
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Toulouse E392182 entity
Predicate contains P35 FINISHED
Object Blagnac E155294 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: Blagnac | Statement: [arrondissement of Toulouse, contains, Blagnac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blagnac
Context triple: [arrondissement of Toulouse, contains, Blagnac]
  • A. Blagnac chosen
    Blagnac is a suburban town near Toulouse in southwestern France, best known for hosting the headquarters and main facilities of the aircraft manufacturer Airbus.
  • B. Gaillac
    Gaillac is a historic town in southern France renowned for its long-established wine production and picturesque setting along the Tarn River.
  • 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. Béziers
    Béziers is a historic city in southern France known for its wine production, ancient Roman heritage, and the famous Feria de Béziers festival.
  • E. Gradignan
    Gradignan is a suburban commune in southwestern France’s Gironde department, forming part of the Bordeaux metropolitan area and known for its green spaces and wine-growing surroundings.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5f0cb48190aae995d88382e055 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0017a45620819098ab5fa50e73e7a9 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:02 a.m.