Triple

T856586
Position Surface form Disambiguated ID Type / Status
Subject Terminal 3 (Paris Charles de Gaulle Airport) E18505 entity
Predicate isPartOfTransportInfrastructure P8428 FINISHED
Object Paris air transport network 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 air transport network | Statement: [Terminal 3 (Paris Charles de Gaulle Airport), isPartOfTransportInfrastructure, Paris air transport network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris air transport network
Context triple: [Terminal 3 (Paris Charles de Gaulle Airport), isPartOfTransportInfrastructure, Paris air transport network]
  • 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. Paris Charles de Gaulle Airport ground transport system
    The Paris Charles de Gaulle Airport ground transport system is the integrated network of rail, metro, shuttle, and road links that connect the airport’s terminals with Paris and the surrounding region.
  • C. Paris public transport network
    The Paris public transport network is an integrated system of metro lines, regional trains, trams, buses, and airport links that serves Paris and its surrounding suburbs.
  • D. 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.
  • E. Aéroports de Paris
    Aéroports de Paris is the former name of Groupe ADP, the French company that owns and operates the main airports serving the Paris metropolitan area, including Charles de Gaulle and Orly.
  • 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: isPartOfTransportInfrastructure
Context triple: [Terminal 3 (Paris Charles de Gaulle Airport), isPartOfTransportInfrastructure, Paris air transport network]
  • A. isPartOfInfrastructure
    Indicates that something belongs to, is included within, or functions as a component of a larger infrastructure system.
  • B. usesRailInfrastructureOf
    Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
  • C. partOfTransitSystem chosen
    Indicates that something is a component or segment within a larger transit or transportation system.
  • D. isPartOfRoute
    Indicates that something (such as a segment, stop, or step) belongs to and is contained within a larger route.
  • E. hasTransportHub
    Indicates that a location contains or serves as a central facility where multiple transport routes or modes connect for passenger or cargo movement.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac3c172481908ed164ee1579ec28 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3bfcf308190b1ffc63ccd32cc66 completed March 4, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69a4aa834a588190bca4a0eb83fb3eb6 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.