Triple

T20357415
Position Surface form Disambiguated ID Type / Status
Subject Lääne-Viru County E496685 entity
Predicate borders P224 FINISHED
Object Jõgeva 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: Jõgeva County | Statement: [Lääne-Viru County, borders, Jõgeva County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jõgeva County
Context triple: [Lääne-Viru County, borders, Jõgeva County]
  • A. Jõgeva County chosen
    Jõgeva County is an administrative region in eastern Estonia known for its agricultural landscapes, small towns, and cold winter temperatures.
  • B. Põlva County
    Põlva County is a rural administrative region in southeastern Estonia known for its forests, lakes, and strong South Estonian cultural and linguistic heritage.
  • C. 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.
  • D. Saare County
    Saare County is a county in western Estonia that encompasses the islands of Saaremaa and several smaller islands in the Baltic Sea.
  • E. Harju County
    Harju County is a northern Estonian county on the Gulf of Finland that includes the nation’s capital, Tallinn, and serves as its main political and economic hub.
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67854c0448190ab10363f8a218afb completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:25 a.m.