Triple

T6058592
Position Surface form Disambiguated ID Type / Status
Subject Hiiu County E134974 entity
Predicate hasMunicipality P847 FINISHED
Object Hiiumaa Parish E560442 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: Hiiumaa Parish | Statement: [Hiiu County, hasMunicipality, Hiiumaa Parish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hiiumaa Parish
Context triple: [Hiiu County, hasMunicipality, Hiiumaa Parish]
  • A. Hiiumaa Parish chosen
    Hiiumaa Parish is a rural municipality in Hiiu County, Estonia, encompassing much of the island of Hiiumaa and its settlements.
  • B. Kuusalu Parish
    Kuusalu Parish is a rural municipality in northern Estonia known for its coastal landscapes, forests, and cultural heritage within Harju County.
  • C. Saaremaa Parish
    Saaremaa Parish is a rural municipality in western Estonia that encompasses much of Saaremaa Island, including the historic town of Kuressaare and its medieval castle.
  • D. Kiili Parish
    Kiili Parish is a rural municipality in northern Estonia known for its small communities and proximity to the capital, Tallinn, within Harju County.
  • E. Saku Parish
    Saku Parish is a rural municipality in northern Estonia known for its proximity to Tallinn and its mix of small-town communities, forests, and agricultural areas.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0570e64408190ae7a2504f63bb58a completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d0e06288190b4389b43825d5929 completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:10 p.m.