Triple

T21208104
Position Surface form Disambiguated ID Type / Status
Subject Orissaare municipality E522642 entity
Predicate locatedOn P40 FINISHED
Object Saaremaa island 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: Saaremaa island | Statement: [Orissaare municipality, locatedOn, Saaremaa island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saaremaa island
Context triple: [Orissaare municipality, locatedOn, Saaremaa island]
  • A. Saaremaa chosen
    Saaremaa is the largest island of Estonia, known for its rugged coastline, medieval Kuressaare Castle, and distinctive windmills and juniper landscapes.
  • B. Naissaar
    Naissaar is a forested Estonian island in the Baltic Sea known for its military history, nature reserves, and proximity to Tallinn.
  • C. Vilsandi Island
    Vilsandi Island is a small Baltic Sea island off the western coast of Estonia, known for its rich birdlife, coastal landscapes, and role as a core area of Vilsandi National Park.
  • D. Hiiumaa
    Hiiumaa is Estonia’s second-largest island, located in the Baltic Sea and known for its unspoiled nature, lighthouses, and quiet rural landscapes.
  • E. Märjamaa
    Märjamaa is a small borough in western Estonia that serves as a local administrative and service center within Rapla County.
  • 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734362c788190bc1b96d3b84c0ad1 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:25 p.m.