Triple

T14059881
Position Surface form Disambiguated ID Type / Status
Subject Mátra Protected Landscape Area E338314 entity
Predicate locatedIn P40 FINISHED
Object Nógrád County E338312 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: Nógrád County | Statement: [Mátra Protected Landscape Area, locatedIn, Nógrád County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nógrád County
Context triple: [Mátra Protected Landscape Area, locatedIn, Nógrád County]
  • A. Nógrád County chosen
    Nógrád County is a northern Hungarian administrative region known for its hilly landscapes, historic towns, and portions of the Mátra and Cserhát mountain ranges.
  • B. Zólyom County
    Zólyom County was a historic administrative county of the Kingdom of Hungary, located in what is now central Slovakia around the town of Zvolen.
  • C. Gömör-Kishont County
    Gömör-Kishont County was a historic administrative county of the Kingdom of Hungary, located in what is today southern Slovakia and northern Hungary.
  • D. Somogy County
    Somogy County is an administrative region in southwestern Hungary, known for its rural landscapes and proximity to Lake Balaton.
  • E. Tolna County
    Tolna County is an administrative region in central Hungary known for its agricultural landscape and location along the Danube River.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5686f51c81908c33143ecbaae83d completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd09db51c8190ab275e68b1aec120 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.