Triple

T13088236
Position Surface form Disambiguated ID Type / Status
Subject Malév Hungarian Airlines E310391 entity
Predicate cityServedAsFocus P1655 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: [Malév Hungarian Airlines, cityServedAsFocus, Budapest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Budapest
Context triple: [Malév Hungarian Airlines, cityServedAsFocus, 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. Siófok
    Siófok is a popular resort town on the southern shore of Lake Balaton in Hungary, known for its beaches and vibrant summer tourism.
  • C. 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.
  • D. 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.
  • E. Pozsony
    Pozsony is the historical Hungarian name for the city now known as Bratislava, the capital of Slovakia.
  • 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: cityServedAsFocus
Context triple: [Malév Hungarian Airlines, cityServedAsFocus, Budapest]
  • A. servesAsFocusCityFor chosen
    Indicates that a city functions as a primary or designated focus city for an airline, organization, or transportation network, typically hosting significant but not hub-level operations or activities.
  • B. cityServedType
    Indicates the type or category of city that is served by a given entity (such as a facility, service, or infrastructure).
  • C. alternativeCityServed
    Indicates that one city functions as an alternative service location for another city, typically in contexts like transportation or logistics.
  • D. servedCity
    Indicates that a service, route, or facility operates in, reaches, or is available to a particular city.
  • E. cityServedRegion
    Indicates that a city provides services to, or functions as an administrative or economic center for, a specified region.
  • F. None of above.

Provenance (4 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981378dd08190b4f00e4e5df0e480 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f7696f0819094825b158e1e9a8c completed May 3, 2026, 5:01 p.m.
PD Predicate disambiguation batch_69d9803f6c508190bfadfbc2d00c2c64 completed April 10, 2026, 10:57 p.m.
Created at: April 9, 2026, 9:02 p.m.