Triple

T15372848
Position Surface form Disambiguated ID Type / Status
Subject Võru County E367591 entity
Predicate hasCulturalRegion P1968 FINISHED
Object Võrumaa E367591 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: Võrumaa | Statement: [Võru County, hasCulturalRegion, Võrumaa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Võrumaa
Context triple: [Võru County, hasCulturalRegion, Võrumaa]
  • A. Virumaa
    Virumaa is a historical region in northern Estonia, known for its medieval heritage, coastal landscapes, and role as one of the country’s traditional cultural provinces.
  • B. Võru County chosen
    Võru County is a rural region in southeastern Estonia known for its distinct South Estonian (Võro) linguistic and cultural heritage.
  • C. Võru
    Võru is a small town in southeastern Estonia known for its lakeside setting, traditional Võro culture, and role as a regional administrative and cultural center.
  • D. Lääne-Viru County
    Lääne-Viru County is a northeastern administrative region of Estonia known for its coastal landscapes, historic manors, and the town of Rakvere.
  • E. Harju maakond
    Harju maakond is a county in northern Estonia that includes the nation’s capital city, Tallinn, and serves as the country’s most populous and economically significant region.
  • 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_69ff219863b48190a68e73c85e27472c completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:18 a.m.