Triple

T14867321
Position Surface form Disambiguated ID Type / Status
Subject Budapest Airport Zrt. E349649 entity
Predicate servesAsPrimaryAirportOperatorForCity P115936 FINISHED
Object Budapest E13406 NE FINISHED

How this triple was built (3 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: Budapest | Statement: [Budapest Airport Zrt., servesAsPrimaryAirportOperatorForCity, Budapest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Budapest
Context triple: [Budapest Airport Zrt., servesAsPrimaryAirportOperatorForCity, Budapest]
  • A. Budapest chosen
    Budapest is the capital and largest city of Hungary, renowned for its historic architecture, thermal baths, and prominent location along the Danube River.
  • B. Újbuda
    Újbuda is a major residential and commercial district on the Buda side of Budapest, known for its universities, cultural venues, and riverside areas along the Danube.
  • C. Siófok
    Siófok is a popular resort town on the southern shore of Lake Balaton in Hungary, known for its beaches and vibrant summer tourism.
  • D. Budaörs
    Budaörs is a suburban town near Budapest in Hungary, known for its rapid post-communist development and role as a commercial and residential hub.
  • E. Győr
    Győr is a historic city in northwestern Hungary, known as an important regional cultural and economic center at the confluence of the Danube, Rába, and Rábca rivers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servesAsPrimaryAirportOperatorForCity
Context triple: [Budapest Airport Zrt., servesAsPrimaryAirportOperatorForCity, Budapest]
  • A. airportServesAs
    Indicates that an airport functions in a particular role or capacity (such as primary, secondary, or hub) for a specified area, organization, or service.
  • B. airportServed
    Indicates that a particular airport provides service to, or is used for air travel to and from, a given location or area.
  • C. operatingBaseAirport
    Indicates the airport that serves as the primary base of operations for an airline or aircraft.
  • D. operatorPrimaryHubAirportCode
    Indicates the airport code of the main or primary hub used by the operator.
  • E. isMajorRegionalAirportFor
    Indicates that an airport serves as a primary or significant air travel hub for a particular region.
  • F. None of above. chosen

Provenance (5 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5776b848190bfe3a06ff261dc31 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bc9db7c8190af08b26471d28e97 completed May 9, 2026, 1:20 a.m.
PD Predicate disambiguation batch_69de8c1798c08190b433e9ad21e41a42 completed April 14, 2026, 6:48 p.m.
PDg Predicate description generation batch_69de8f4b67cc8190b84b59fcec5cf579 completed April 14, 2026, 7:02 p.m.
Created at: April 10, 2026, 1:55 a.m.