Triple

T1419195
Position Surface form Disambiguated ID Type / Status
Subject KLM E31984 entity
Predicate hubAirport P8171 FINISHED
Object Amsterdam Airport Schiphol E15161 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: Amsterdam Airport Schiphol | Statement: [KLM, hubAirport, Amsterdam Airport Schiphol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amsterdam Airport Schiphol
Context triple: [KLM, hubAirport, Amsterdam Airport Schiphol]
  • A. Amsterdam Airport Schiphol chosen
    Amsterdam Airport Schiphol is the main international airport of the Netherlands and one of Europe’s busiest aviation hubs for passenger and cargo traffic.
  • B. Eindhoven Airport
    Eindhoven Airport is a major regional airport in the Netherlands that serves as a key hub for low-cost and European short-haul flights.
  • C. Brussels Airport
    Brussels Airport is the main international airport serving Brussels and one of Belgium’s busiest air transport hubs for passengers and cargo.
  • D. Schiphol railway station
    Schiphol railway station is a major Dutch rail hub located beneath Amsterdam Airport Schiphol, providing national and international train connections.
  • E. Maastricht Aachen Airport
    Maastricht Aachen Airport is a regional international airport in the southeastern Netherlands serving the cities of Maastricht and Aachen and the surrounding Limburg region.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c40631e881909ddf81a2eb84af1c completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad015f5ad08190aaa0d1063432af2b completed March 8, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:59 p.m.