Triple

T2218892
Position Surface form Disambiguated ID Type / Status
Subject Paris Air Show E48094 entity
Predicate location P40 FINISHED
Object Le Bourget E47142 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: Le Bourget | Statement: [Paris Air Show, location, Le Bourget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Bourget
Context triple: [Paris Air Show, location, Le Bourget]
  • A. Paris–Le Bourget Airport chosen
    Paris–Le Bourget Airport is a historic airport near Paris that now primarily serves business aviation and hosts the biennial Paris Air Show.
  • B. Villepinte
    Villepinte is a northeastern suburb of Paris in the Île-de-France region, known for hosting the large Paris Nord Villepinte exhibition center and its proximity to Charles de Gaulle Airport.
  • C. Roissy-en-France
    Roissy-en-France is a commune in the northeastern suburbs of Paris best known for hosting most of Charles de Gaulle Airport, France’s largest international air hub.
  • D. Lyon–Saint-Exupéry Airport
    Lyon–Saint-Exupéry Airport is a major international airport in eastern France serving the city of Lyon and the surrounding Auvergne-Rhône-Alpes region.
  • E. Beauvais–Tillé Airport
    Beauvais–Tillé Airport is a secondary international airport serving the Paris region, known primarily as a hub for low-cost carriers and budget flights.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc011d50c8190b1c375cc633f8189 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cc3255c8190bc8de265f452a6b0 completed March 9, 2026, 11:50 p.m.
Created at: March 4, 2026, 7:46 p.m.