Triple

T2030465
Position Surface form Disambiguated ID Type / Status
Subject Viljandi Culture Academy E44503 entity
Predicate region P40 FINISHED
Object Viljandi County E225374 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: Viljandi County | Statement: [Viljandi Culture Academy, region, Viljandi County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viljandi County
Context triple: [Viljandi Culture Academy, region, Viljandi County]
  • A. 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.
  • B. Viljandi chosen
    Viljandi is a historic town in southern Estonia known for its medieval castle ruins, rich cultural life, and annual folk music festival.
  • C. 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.
  • D. Kivalliq Region
    Kivalliq Region is an administrative region of Nunavut in northern Canada, known for its Inuit communities, tundra landscapes, and Arctic wildlife.
  • E. Hiiu County
    Hiiu County is an administrative region of Estonia encompassing the island of Hiiumaa and its surrounding islets in the Baltic Sea.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb915c9548190809d08c4d67466fb completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d85c2208190bbd612a3ecbbacfd completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:38 p.m.