Triple

T17472009
Position Surface form Disambiguated ID Type / Status
Subject Kloten E425440 entity
Predicate isHomeOf P2591 FINISHED
Object Zurich 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: Zurich Airport | Statement: [Kloten, isHomeOf, Zurich Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zurich Airport
Context triple: [Kloten, isHomeOf, Zurich Airport]
  • A. Zurich Airport chosen
    Zurich Airport is Switzerland’s largest and busiest international airport, serving as a major European aviation hub near the city of Zurich.
  • B. Zurich Airport International
    Zurich Airport International is a global airport development and operations company best known for operating Switzerland’s Zurich Airport and managing international airport projects through public–private partnerships.
  • C. Geneva Airport
    Geneva Airport is a major international airport in western Switzerland serving the city of Geneva and the surrounding region, including access to the Alps and neighboring France.
  • D. Bern-Belp Airport
    Bern-Belp Airport is a small regional airport serving the city of Bern, Switzerland, primarily handling domestic and short-haul European flights.
  • E. Grenchen Airport
    Grenchen Airport is a regional Swiss airfield near the town of Grenchen that primarily serves general aviation, flight training, and business aviation.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451b8a51081908d94bebe2417e3d3 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.