Triple

T22714006
Position Surface form Disambiguated ID Type / Status
Subject West Estonia and islands region E561676 entity
Predicate contains P35 FINISHED
Object Lääne 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 County | Statement: [West Estonia and islands region, contains, Lääne County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lääne County
Context triple: [West Estonia and islands region, contains, Lääne County]
  • A. Lääne County chosen
    Lääne County is a coastal administrative region in western Estonia known for its historic town of Haapsalu and its Baltic Sea shoreline.
  • B. Saare County
    Saare County is a county in western Estonia that encompasses the islands of Saaremaa and several smaller islands in the Baltic Sea.
  • 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. Jõgeva County
    Jõgeva County is an administrative region in eastern Estonia known for its agricultural landscapes, small towns, and cold winter temperatures.
  • E. Steuben County
    Steuben County is a largely rural county in New York State’s Southern Tier region, known for its small towns, rolling hills, and proximity to the Finger Lakes.
  • 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790bdac88190976c83c9039c9d16 completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:18 p.m.