Triple

T15372837
Position Surface form Disambiguated ID Type / Status
Subject Võru County E367591 entity
Predicate bordersCounty P6346 FINISHED
Object Põlva County E367592 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: Põlva County | Statement: [Võru County, bordersCounty, Põlva County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Põlva County
Context triple: [Võru County, bordersCounty, Põlva County]
  • A. Põlva County chosen
    Põlva County is a rural administrative region in southeastern Estonia known for its forests, lakes, and strong South Estonian cultural and linguistic heritage.
  • B. Jõgeva County
    Jõgeva County is an administrative region in eastern Estonia known for its agricultural landscapes, small towns, and cold winter temperatures.
  • C. Viljandi County
    Viljandi County is a rural administrative region in southern Estonia known for its lakes, forests, and historic town of Viljandi.
  • D. Ida-Viru County
    Ida-Viru County is an administrative region in northeastern Estonia known for its industrial centers, oil shale industry, and significant Russian-speaking population.
  • E. Valga County
    Valga County is a rural administrative region in southern Estonia known for its forests, lakes, and the twin town of Valga–Valka on the Estonian-Latvian border.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e5c1d548190930bfaf0861595ae completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b528f408190b66d3d6e10e90a43 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:18 a.m.