Triple

T14157684
Position Surface form Disambiguated ID Type / Status
Subject Terminal E E350854 entity
Predicate operatedBy P86 FINISHED
Object Flughafen Zürich AG E1083807 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: Flughafen Zürich AG | Statement: [Terminal E, operatedBy, Flughafen Zürich AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flughafen Zürich AG
Context triple: [Terminal E, operatedBy, Flughafen Zürich AG]
  • A. Flughafen Zürich AG chosen
    Flughafen Zürich AG is the company that owns and manages Switzerland’s largest international airport, Zurich Airport, overseeing its operations, infrastructure, and development.
  • B. Swiss International Air Lines
    Swiss International Air Lines is the flag carrier airline of Switzerland, operating a global network of flights primarily from its hub in Zurich.
  • C. Verkehrsbetriebe Zürich
    Verkehrsbetriebe Zürich is the municipal public transport operator in Zurich, Switzerland, running the city’s tram, bus, and other urban transit services.
  • D. Flughafen Wien AG
    Flughafen Wien AG is an Austrian publicly listed company that operates and manages Vienna International Airport and related airport services.
  • E. Swissair
    Swissair was the former national airline of Switzerland, renowned for its high service standards and extensive international route network until its collapse in 2001.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61377de48190a3470d28f0edd34a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193b72f48190b80ac30d32ab8349 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 12:58 a.m.