Triple

T20976163
Position Surface form Disambiguated ID Type / Status
Subject Balatonfűzfő E516630 entity
Predicate partOf P40 FINISHED
Object Balaton 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 region | Statement: [Balatonfűzfő, partOf, Balaton region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balaton region
Context triple: [Balatonfűzfő, partOf, Balaton region]
  • A. Balaton Riviera region chosen
    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.
  • B. Fertőzug region
    The Fertőzug region is a landscape area around Lake Neusiedl/Fertő, known for its wetlands, reed beds, and traditional cultural landscape within the Fertő-Hanság National Park.
  • C. Palóc region
    The Palóc region is a culturally distinct area in northern Hungary and southern Slovakia known for its unique Palóc Hungarian dialect, folk traditions, and rural architectural heritage.
  • D. Gerecse region
    The Gerecse region is a hilly, forested area in northwestern Hungary known for its limestone mountains, caves, and popular hiking trails.
  • E. Nyírség region
    The Nyírség region is a sandy, agriculturally rich area in northeastern Hungary known for its rolling dunes, orchards, and distinctive rural landscape.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba3df2081908c1db5f8610ba43d completed April 21, 2026, 4:23 a.m.
Created at: April 16, 2026, 1:47 p.m.