Triple

T20044300
Position Surface form Disambiguated ID Type / Status
Subject Kiili Parish E497512 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Kose Parish 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: Kose Parish | Statement: [Kiili Parish, hasNeighbouringMunicipality, Kose Parish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kose Parish
Context triple: [Kiili Parish, hasNeighbouringMunicipality, Kose Parish]
  • A. Kose Parish chosen
    Kose Parish is a rural municipality in northern Estonia known for its small towns, forests, and agricultural landscapes within Harju County.
  • B. Raasiku Parish
    Raasiku Parish is a rural municipality in northern Estonia, located in Harju County and known for its small settlements and proximity to Tallinn.
  • C. Muhu Parish
    Muhu Parish is a rural municipality in Saare County, Estonia, encompassing Muhu Island and several smaller surrounding islets.
  • D. 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.
  • E. Nõo Parish
    Nõo Parish is a rural municipality in southeastern Estonia known for its small communities, forests, and proximity to the city of Tartu.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662eea09481908d1001165e9d719c completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:37 p.m.