Triple

T22402222
Position Surface form Disambiguated ID Type / Status
Subject Muhu E553788 entity
Predicate partOf P40 FINISHED
Object Muhu 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: Muhu Parish | Statement: [Muhu, partOf, Muhu Parish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muhu Parish
Context triple: [Muhu, partOf, Muhu Parish]
  • A. Muhu Parish chosen
    Muhu Parish is a rural municipality in Saare County, Estonia, encompassing Muhu Island and several smaller surrounding islets.
  • B. Vasalemma Parish
    Vasalemma Parish was a former rural municipality in northern Estonia that was later incorporated into the larger Lääne-Harju Parish.
  • C. Leisi Parish
    Leisi Parish was a former rural municipality in Saare County, Estonia, known for its small villages and coastal landscapes before being merged into Saaremaa Parish.
  • D. Kuusalu Parish
    Kuusalu Parish is a rural municipality in northern Estonia known for its coastal landscapes, forests, and cultural heritage 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 (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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b4a96c8190838f5dda21c4d853 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.