Triple

T5773751
Position Surface form Disambiguated ID Type / Status
Subject Kuressaare E127388 entity
Predicate capitalOf P204 FINISHED
Object Saare County E133304 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: Saare County | Statement: [Kuressaare, capitalOf, Saare County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saare County
Context triple: [Kuressaare, capitalOf, Saare County]
  • A. Saare County chosen
    Saare County is a county in western Estonia that encompasses the islands of Saaremaa and several smaller islands in the Baltic Sea.
  • B. Lääne County
    Lääne County is a coastal administrative region in western Estonia known for its historic town of Haapsalu and its Baltic Sea shoreline.
  • C. Hiiu County
    Hiiu County is an administrative region of Estonia encompassing the island of Hiiumaa and its surrounding islets in the Baltic Sea.
  • D. Harju County
    Harju County is a northern Estonian county on the Gulf of Finland that includes the nation’s capital, Tallinn, and serves as its main political and economic hub.
  • E. Upson County
    Upson County is a county in central Georgia, United States, known for its seat in Thomaston and its mix of rural communities and small-town industry.
  • 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.