Triple

T1162824
Position Surface form Disambiguated ID Type / Status
Subject Hiiumaa E24531 entity
Predicate partOf P40 FINISHED
Object Hiiu County E134974 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: Hiiu County | Statement: [Hiiumaa, partOf, Hiiu County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hiiu County
Context triple: [Hiiumaa, partOf, Hiiu County]
  • A. Hiiu County chosen
    Hiiu County is an administrative region of Estonia encompassing the island of Hiiumaa and its surrounding islets in the Baltic Sea.
  • 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. White Pine County
    White Pine County is a sparsely populated county in eastern Nevada known for its mountainous landscapes, outdoor recreation, and Great Basin National Park.
  • D. Lika-Senj County
    Lika-Senj County is a sparsely populated county in central Croatia known for its mountainous landscapes, national parks, and Adriatic coastline.
  • 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 (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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcb2bb84819088bd94e91c10fb0c completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7642ff0c81909b323ac328b18e2e completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:45 p.m.