Triple

T16065306
Position Surface form Disambiguated ID Type / Status
Subject Dutch Limburg E389715 entity
Predicate hasAirport P105 FINISHED
Object Maastricht Aachen Airport E124687 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: Maastricht Aachen Airport | Statement: [Dutch Limburg, hasAirport, Maastricht Aachen Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maastricht Aachen Airport
Context triple: [Dutch Limburg, hasAirport, Maastricht Aachen Airport]
  • A. Maastricht Aachen Airport chosen
    Maastricht Aachen Airport is a regional international airport in the southeastern Netherlands serving the cities of Maastricht and Aachen and the surrounding Limburg region.
  • B. Liège Airport
    Liège Airport is a major international cargo and passenger airport in eastern Belgium, known as one of Europe’s leading freight hubs.
  • C. 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.
  • D. Antwerp International Airport
    Antwerp International Airport is a small regional airport in Antwerp, Belgium, primarily serving short-haul European flights and general aviation.
  • E. Brussels Airport
    Brussels Airport is the main international airport serving Brussels and one of Belgium’s busiest air transport hubs for passengers and cargo.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837bec688190a77ad347600b6bdc completed April 17, 2026, 12:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe47ef6648190bf1fe216e78ef660 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:57 a.m.