Triple

T6308575
Position Surface form Disambiguated ID Type / Status
Subject Käina E141439 entity
Predicate governingBody P46 FINISHED
Object Hiiumaa Parish Government 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 Government | Statement: [Käina, governingBody, Hiiumaa Parish Government]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hiiumaa Parish Government
Context triple: [Käina, governingBody, Hiiumaa Parish Government]
  • 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. Harku Parish
    Harku Parish is a rural municipality in northern Estonia, located just west of the capital city Tallinn.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0647d38008190abaf96632712ddf9 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e45330ec8190945682962ae823b0 completed March 27, 2026, 1:58 a.m.
Created at: March 22, 2026, 4:28 p.m.