Triple

T20655864
Position Surface form Disambiguated ID Type / Status
Subject Osijek-Baranja County E507624 entity
Predicate borderedBy P224 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: [Osijek-Baranja County, borderedBy, Baranya County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baranya County
Context triple: [Osijek-Baranja County, borderedBy, 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2ed48308190b9350a323b9a7952 completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:43 a.m.