Triple

T12975733
Position Surface form Disambiguated ID Type / Status
Subject Francisco Sá Carneiro Airport E321518 entity
Predicate owner P347 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: [Francisco Sá Carneiro Airport, owner, Vinci Airports]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinci Airports
Context triple: [Francisco Sá Carneiro Airport, owner, 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. Gillot Airport
    Gillot Airport is the former name of Roland Garros Airport, the main international airport serving Réunion Island in the Indian Ocean.
  • C. Frans Sales Lega Airport
    Frans Sales Lega Airport is a regional airport serving the town of Ruteng on the island of Flores in East Nusa Tenggara, Indonesia.
  • 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. Aeroport
    Aeroport is a Moscow Metro station on the Zamoskvoretskaya Line, named after the nearby Khodynka Aerodrome 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e48c0208190bb7ec80780480b37 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbc277c881909ae77e8a44e06986 completed May 3, 2026, 4:14 a.m.
Created at: April 9, 2026, 8:37 p.m.