Triple

T21037416
Position Surface form Disambiguated ID Type / Status
Subject Tihany E518226 entity
Predicate partOf P40 FINISHED
Object Balaton Uplands region 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: Balaton Uplands region | Statement: [Tihany, partOf, Balaton Uplands region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balaton Uplands region
Context triple: [Tihany, partOf, Balaton Uplands region]
  • A. Balaton Uplands chosen
    Balaton Uplands is a scenic hilly region in western Hungary known for its volcanic buttes, vineyards, traditional villages, and protected natural landscapes overlooking Lake Balaton.
  • B. Balaton Riviera region
    The Balaton Riviera region is a scenic tourist area along the northern shore of Lake Balaton in Hungary, known for its mild climate, vineyards, and lakeside resorts.
  • C. Balaton wine region
    The Balaton wine region is a prominent Hungarian wine-producing area surrounding Lake Balaton, known for its volcanic soils, white wines, and scenic vineyard landscapes.
  • D. Zala Hills
    Zala Hills is a low, rolling hilly region in western Hungary known for its gentle landscapes, forests, and agricultural areas.
  • E. Southwestern Hungary
    Southwestern Hungary is a geographic region of Hungary bordering Croatia and Slovenia, known for its rolling hills, thermal spas, and historic towns such as Nagykanizsa and Pécs.
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcecf2508190a7647abb3c59debb completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:03 p.m.