Triple

T1404829
Position Surface form Disambiguated ID Type / Status
Subject Lake Balaton E31666 entity
Predicate hasResortTown P847 FINISHED
Object Siófok E132830 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: Siófok | Statement: [Lake Balaton, hasResortTown, Siófok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siófok
Context triple: [Lake Balaton, hasResortTown, Siófok]
  • A. Siófok chosen
    Siófok is a popular resort town on the southern shore of Lake Balaton in Hungary, known for its beaches and vibrant summer tourism.
  • B. Kaposvár
    Kaposvár is a city in southwestern Hungary that serves as the administrative and cultural center of Somogy County.
  • C. Gödöllő
    Gödöllő is a Hungarian town near Budapest best known for its historic Royal Palace, one of the largest Baroque palaces in Hungary.
  • D. Pécs
    Pécs is a historic cultural and university city in southwestern Hungary, renowned for its Roman and Ottoman heritage and its designation as a European Capital of Culture in 2010.
  • E. Sátoraljaújhely
    Sátoraljaújhely is a historic town in northeastern Hungary near the Slovak border, known for its wine region, cultural heritage, and scenic Zemplén Mountains setting.
  • 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: hasResortTown
Context triple: [Lake Balaton, hasResortTown, Siófok]
  • A. hasResortHotel
    Indicates that one entity owns, includes, or is associated with a resort hotel as part of its facilities or offerings.
  • B. locatedInResortTown
    Indicates that something is situated within the boundaries of a town that is primarily known as a resort or vacation destination.
  • C. hasPopularResort
    Indicates that a location or area contains or is associated with a resort that is widely visited or well-liked.
  • D. hasSpaTown
    Indicates that a place is associated with or contains a town known for its spa or therapeutic bathing facilities.
  • E. hasTown chosen
    Indicates that one entity possesses, contains, or is associated with a town as part of its structure, jurisdiction, or composition.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3bb3a9c81909db2ad91defd87b6 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d762bb0819092685731269e57c4 completed March 9, 2026, 5:41 a.m.
PD Predicate disambiguation batch_69a4bf030a388190bc82d30b9233e873 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:59 p.m.