Triple

T5484347
Position Surface form Disambiguated ID Type / Status
Subject Saaremaa municipality E123541 entity
Predicate administrativeCentre P1474 FINISHED
Object Kuressaare E127388 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: Kuressaare | Statement: [Saaremaa municipality, administrativeCentre, Kuressaare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuressaare
Context triple: [Saaremaa municipality, administrativeCentre, Kuressaare]
  • A. Kuressaare chosen
    Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
  • B. Naissaar
    Naissaar is a forested Estonian island in the Baltic Sea known for its military history, nature reserves, and proximity to Tallinn.
  • C. Saaremaa
    Saaremaa is the largest island of Estonia, known for its rugged coastline, medieval Kuressaare Castle, and distinctive windmills and juniper landscapes.
  • D. Pääsküla
    Pääsküla is a subdistrict of the Nõmme district in Tallinn, Estonia, known for its residential areas and nearby natural landscapes.
  • E. Hiiumaa
    Hiiumaa is Estonia’s second-largest island, located in the Baltic Sea and known for its unspoiled nature, lighthouses, and quiet rural landscapes.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9260d90c819087f34ab24662575d completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf833b88d881908e9b6180c74f72fb completed March 22, 2026, 5:50 a.m.
Created at: March 20, 2026, 2:10 p.m.