Triple

T5933536
Position Surface form Disambiguated ID Type / Status
Subject Vinci E131991 entity
Predicate hasSubsidiary P254 FINISHED
Object Vinci Airports E321516 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: Vinci Airports | Statement: [Vinci, hasSubsidiary, Vinci Airports]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinci Airports
Context triple: [Vinci, hasSubsidiary, Vinci Airports]
  • A. Vinci Airports chosen
    Vinci Airports is a global airport operator that manages and develops a large network of airports across multiple countries as part of the Vinci Group’s transport infrastructure portfolio.
  • B. 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.
  • C. Aeroport
    Aeroport is a Moscow Metro station on the Zamoskvoretskaya Line, named after the nearby Khodynka Aerodrome area.
  • D. Nice Côte d’Azur Airport
    Nice Côte d’Azur Airport is a major international airport on the French Riviera serving as the primary air gateway to Nice and the surrounding Côte d’Azur region.
  • E. Lungi International Airport
    Lungi International Airport is the main international gateway to Sierra Leone, located across the Sierra Leone River from the capital city, Freetown.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0389f6fc881909527b928838ffcdd completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c064d2a4819096085668182cfde1 completed March 23, 2026, 4:24 a.m.
Created at: March 22, 2026, 4 p.m.