Triple

T14643540
Position Surface form Disambiguated ID Type / Status
Subject Parádfürdő E343785 entity
Predicate locatedIn P40 FINISHED
Object Mátra region E844209 NE FINISHED

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: Mátra region | Statement: [Parádfürdő, locatedIn, Mátra region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mátra region
Context triple: [Parádfürdő, locatedIn, Mátra region]
  • A. Veszprém Plateau
    The Veszprém Plateau is a hilly limestone region in western Hungary known for its elevated terrain and the historic city of Veszprém situated upon it.
  • B. Mátra wine region
    The Mátra wine region is a Hungarian wine-producing area on the slopes of the Mátra Mountains, known for its volcanic soils and fresh, aromatic white wines.
  • C. Mátra Mountains chosen
    The Mátra Mountains are a volcanic mountain range in northern Hungary known for hosting the country’s highest peak, Kékes, and popular hiking and ski areas.
  • D. 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.
  • E. Gerecse region
    The Gerecse region is a hilly, forested area in northwestern Hungary known for its limestone mountains, caves, and popular hiking trails.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4e80aa48190884bab800f357106 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde170d4a0819087caeacf39f95954 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:26 a.m.