Triple

T5773735
Position Surface form Disambiguated ID Type / Status
Subject Kuressaare E127388 entity
Predicate locatedOn P40 FINISHED
Object Saaremaa island E24108 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: Saaremaa island | Statement: [Kuressaare, locatedOn, Saaremaa island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saaremaa island
Context triple: [Kuressaare, 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. Hiiumaa
    Hiiumaa is Estonia’s second-largest island, located in the Baltic Sea and known for its unspoiled nature, lighthouses, and quiet rural landscapes.
  • D. Kuressaare
    Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
  • E. Suursaari
    Suursaari is a large, strategically located island in the eastern Gulf of Finland, known for its rugged terrain, historical military significance, and shifting control between Finland and Russia.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029af681081908276e99c568561ce completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09809cfcc8190b4d55db4b74316c7 completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:50 p.m.