Triple

T18790652
Position Surface form Disambiguated ID Type / Status
Subject Lille–Lesquin Airport E459503 entity
Predicate sameAs P6530 FINISHED
Object Lille Airport NE NERFINISHED

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: Lille Airport | Statement: [Lille–Lesquin Airport, sameAs, Lille Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lille Airport
Context triple: [Lille–Lesquin Airport, sameAs, Lille Airport]
  • A. Lille Airport chosen
    Lille Airport is an international airport serving the city of Lille and the surrounding Hauts-de-France region in northern France.
  • B. Strasbourg Airport
    Strasbourg Airport is an international airport serving the city of Strasbourg and the surrounding Alsace region in northeastern France.
  • C. Liège Airport
    Liège Airport is a major international cargo and passenger airport in eastern Belgium, known as one of Europe’s leading freight hubs.
  • D. Beauvais–Tillé Airport
    Beauvais–Tillé Airport is a secondary international airport serving the Paris region, known primarily as a hub for low-cost carriers and budget flights.
  • E. Le Touquet – Côte d’Opale Airport
    Le Touquet – Côte d’Opale Airport is a regional airport in northern France serving the seaside resort town of Le Touquet-Paris-Plage and the surrounding Côte d’Opale area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5978599008190aaceaff1b1e0a2c7 completed April 20, 2026, 3:03 a.m.
Created at: April 10, 2026, 11:53 a.m.