Triple

T525271
Position Surface form Disambiguated ID Type / Status
Subject CDG E10902 entity
Predicate partOfAirportSystem P11953 FINISHED
Object Paris airport system E15058 NE FINISHED

How this triple was built (3 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: Paris airport system | Statement: [CDG, partOfAirportSystem, Paris airport system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris airport system
Context triple: [CDG, partOfAirportSystem, Paris airport system]
  • A. Paris airport system chosen
    The Paris airport system is the network of major international and domestic airports serving the Paris metropolitan area, primarily including Charles de Gaulle and Orly, which together form one of Europe’s busiest air transport hubs.
  • B. Charles de Gaulle Airport
    Charles de Gaulle Airport is the largest international airport in France and a major European aviation hub serving the Paris metropolitan area.
  • C. Paris Orly Airport
    Paris Orly Airport is a major international airport serving the Paris metropolitan area, located south of the city and handling a large share of its domestic and European flights.
  • D. Paris–Le Bourget Airport
    Paris–Le Bourget Airport is a historic airport near Paris that now primarily serves business aviation and hosts the biennial Paris Air Show.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partOfAirportSystem
Context triple: [CDG, partOfAirportSystem, Paris airport system]
  • A. belongsToAirportSystem chosen
    Indicates that an airport is a member or component of a specific airport system or network.
  • B. aircraftFacility
    Indicates that a facility is designed, equipped, or used to support the operation, maintenance, or accommodation of aircraft.
  • C. airportRole
    Indicates that an entity serves a specific functional role or capacity within the context of an airport.
  • D. isPrimaryRunwayOf
    Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
  • E. hubAirport
    Indicates that an airport serves as a primary hub or central operating base for a particular airline or carrier.
  • F. None of above.

Provenance (4 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1b7f448819087e5e7f3b37d7142 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4cc5868d88190bb0b107fb820aafe completed March 1, 2026, 11:31 p.m.
PD Predicate disambiguation batch_69a2f0198ecc8190883849e5a8245963 completed Feb. 28, 2026, 1:39 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.