Triple

T23306607
Position Surface form Disambiguated ID Type / Status
Subject Pécsvárad E590458 entity
Predicate countrySubdivision P766 FINISHED
Object Baranya County 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: Baranya County | Statement: [Pécsvárad, countrySubdivision, Baranya County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baranya County
Context triple: [Pécsvárad, countrySubdivision, Baranya County]
  • A. Baranya County chosen
    Baranya County is an administrative region in southern Hungary known for its cultural center Pécs, wine-producing areas, and diverse natural landscapes.
  • B. Trencsén County
    Trencsén County was a historic administrative county of the Kingdom of Hungary, located in what is now northwestern Slovakia.
  • C. Makó District
    Makó District is an administrative district in Csongrád-Csanád County in southeastern Hungary, centered around the town of Makó.
  • D. Turóc County
    Turóc County was a historic administrative county of the Kingdom of Hungary, located in what is today central Slovakia.
  • E. Békés County
    Békés County is an administrative region in southeastern Hungary known for its agricultural landscape and proximity to the Romanian border.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972846fc819092ca2b9590b2e177 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:05 p.m.