Triple

T3215491
Position Surface form Disambiguated ID Type / Status
Subject Terminal 2B E67384 entity
Predicate partOf P40 FINISHED
Object Paris Charles de Gaulle Airport E2173 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 Charles de Gaulle Airport | Statement: [Terminal 2B, partOf, Paris Charles de Gaulle Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris Charles de Gaulle Airport
Context triple: [Terminal 2B, partOf, Paris Charles de Gaulle Airport]
  • A. Charles de Gaulle Airport chosen
    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. 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.
  • E. Toulouse-Blagnac Airport
    Toulouse-Blagnac Airport is an international airport serving the city of Toulouse in southwestern France and acting as a major hub for both commercial flights and the aerospace industry.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adab085a408190af9fb40acca31a5f completed March 8, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3738cbc1c819099a4f3e807c0eacf completed March 13, 2026, 2:16 a.m.
Created at: March 8, 2026, 3:07 p.m.