Triple

T20272874
Position Surface form Disambiguated ID Type / Status
Subject Terminal 1 (Munich Airport) E502933 entity
Predicate operator P179 FINISHED
Object Flughafen München GmbH 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: Flughafen München GmbH | Statement: [Terminal 1 (Munich Airport), operator, Flughafen München GmbH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flughafen München GmbH
Context triple: [Terminal 1 (Munich Airport), operator, Flughafen München GmbH]
  • A. Flughafen München GmbH chosen
    Flughafen München GmbH is the operating company responsible for managing and developing Munich Airport, one of Germany’s major international air hubs.
  • B. Flughafen Nürnberg GmbH
    Flughafen Nürnberg GmbH is the company responsible for managing and operating Nuremberg Airport in Germany.
  • C. Berliner Flughafen-Gesellschaft
    Berliner Flughafen-Gesellschaft was the municipal company responsible for operating Berlin’s airports, notably during the Cold War era.
  • D. Flughafen Hamburg GmbH
    Flughafen Hamburg GmbH is the company responsible for managing and operating Hamburg Airport, one of Germany’s major international airports.
  • E. Mitteldeutsche Flughafen AG
    Mitteldeutsche Flughafen AG is a German airport operating company that manages major airports in the central German region, including Dresden Airport.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e675dff3c4819098ba45eba4e7b296 completed April 20, 2026, 6:52 p.m.
Created at: April 16, 2026, 10:15 a.m.