Triple

T16005746
Position Surface form Disambiguated ID Type / Status
Subject Terminal 3–Roissypôle CDGVAL station E388212 entity
Predicate operator P179 FINISHED
Object Paris Aéroport E87140 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: Paris Aéroport | Statement: [Terminal 3–Roissypôle CDGVAL station, operator, Paris Aéroport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paris Aéroport
Context triple: [Terminal 3–Roissypôle CDGVAL station, operator, Paris Aéroport]
  • A. 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.
  • B. 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.
  • C. Roland Garros Airport
    Roland Garros Airport is the main international airport on the French island of Réunion in the Indian Ocean.
  • D. Aéroports de Paris chosen
    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.
  • E. 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.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157ff33d88190b5a92f7ff70b24eb completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff293c2248190993d5d74eaf626bc completed May 10, 2026, 2:50 a.m.
Created at: April 10, 2026, 4:55 a.m.