Triple

T18277166
Position Surface form Disambiguated ID Type / Status
Subject Jõepere E437765 entity
Predicate countrySubdivision P766 FINISHED
Object Lääne-Viru 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: Lääne-Viru County | Statement: [Jõepere, countrySubdivision, Lääne-Viru County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lääne-Viru County
Context triple: [Jõepere, countrySubdivision, Lääne-Viru County]
  • A. Lääne-Viru County chosen
    Lääne-Viru County is a northeastern administrative region of Estonia known for its coastal landscapes, historic manors, and the town of Rakvere.
  • B. Võru County
    Võru County is a rural region in southeastern Estonia known for its distinct South Estonian (Võro) linguistic and cultural heritage.
  • C. Tartu County
    Tartu County is an administrative region in eastern Estonia centered around the university city of Tartu and known for its cultural, educational, and economic significance.
  • 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. Pärnu County
    Pärnu County is an administrative region in southwestern Estonia known for its coastal landscapes and the resort city of Pärnu.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500528bb88190a9f9ba6428cc2076 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.