Triple

T10816221
Position Surface form Disambiguated ID Type / Status
Subject Hanko, Finland E255235 entity
Predicate locatedIn P40 FINISHED
Object Uusimaa region E41667 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: Uusimaa region | Statement: [Hanko, Finland, locatedIn, Uusimaa region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uusimaa region
Context triple: [Hanko, Finland, locatedIn, Uusimaa region]
  • A. Uusimaa chosen
    Uusimaa is a coastal region in southern Finland that includes the capital Helsinki and is known for its significant Swedish-speaking population and economic importance.
  • B. Pirkanmaa region
    Pirkanmaa region is a province in southern Finland centered around the city of Tampere, known for its lakes, industry, and cultural significance.
  • C. Turku region
    The Turku region is a southwestern coastal area of Finland centered on the city of Turku, known as a major historical, cultural, and economic hub with important transport connections.
  • D. Kainuu region
    Kainuu region is an eastern Finnish region known for its vast forests, numerous lakes, and sparsely populated rural landscapes.
  • E. Satakunta
    Satakunta is a historical province and region on the western coast of Finland, known for its industrial heritage, coastal landscapes, and the city of Pori.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733edab248190b2cf7f7bc2684468 completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6a52daf1c81909c586e470a998073 completed May 3, 2026, 1:30 a.m.
Created at: April 8, 2026, 9:18 p.m.