Triple

T17844607
Position Surface form Disambiguated ID Type / Status
Subject Runway 16/34 E445624 entity
Predicate iataCodeOfAirport P2569 FINISHED
Object ZRH 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: ZRH | Statement: [Runway 16/34, iataCodeOfAirport, ZRH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZRH
Context triple: [Runway 16/34, iataCodeOfAirport, ZRH]
  • 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
    Zurich is the largest city in Switzerland, known as a global financial hub and cultural center situated on the shores of Lake Zurich.
  • C. 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.
  • D. EuroAirport Basel–Mulhouse–Freiburg
    EuroAirport Basel–Mulhouse–Freiburg is a unique tri-national international airport jointly operated by France and Switzerland that serves the Basel, Mulhouse, and Freiburg region.
  • E. Zug
    Zug is a small, affluent Swiss city and canton known for its low taxes, picturesque lakeside setting, and role as a hub for international businesses and cryptocurrency companies.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ff980048190b496c55b83b3b318 completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.