Triple

T525524
Position Surface form Disambiguated ID Type / Status
Subject Paris Orly Airport E10907 entity
Predicate usedAsPrimaryParisAirportUntil P7894 FINISHED
Object opening of Charles de Gaulle Airport LITERAL 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: opening of Charles de Gaulle Airport | Statement: [Paris Orly Airport, usedAsPrimaryParisAirportUntil, opening of Charles de Gaulle Airport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedAsPrimaryParisAirportUntil
Context triple: [Paris Orly Airport, usedAsPrimaryParisAirportUntil, opening of Charles de Gaulle Airport]
  • A. wasMainParisAirportBefore chosen
    Indicates that an airport served as the primary or principal airport for Paris during a specified earlier time period.
  • B. otherMainParisAirport
    Indicates that one airport serves as an alternative primary airport to another in the Paris area.
  • C. servedAsNationalCapitalUntil
    Indicates that a place functioned as the national capital of a country or state up to a specified end date, after which it no longer held that status.
  • D. hasFormerAirport
    Indicates that an entity previously had an airport that is no longer in operation or no longer exists.
  • E. formerAirportStatus
    Indicates that an entity previously held the status of an airport but no longer functions as one.
  • F. None of above.

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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1b7f448819087e5e7f3b37d7142 completed Feb. 28, 2026, 1:46 p.m.
PD Predicate disambiguation batch_69a2f0198ecc8190883849e5a8245963 completed Feb. 28, 2026, 1:39 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.