Triple

T2802531
Position Surface form Disambiguated ID Type / Status
Subject University of Helsinki E53179 entity
Predicate locatedIn P40 FINISHED
Object Uusimaa 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 | Statement: [University of Helsinki, locatedIn, Uusimaa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uusimaa
Context triple: [University of Helsinki, locatedIn, Uusimaa]
  • 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. Ostrobothnia
    Ostrobothnia is a coastal region in western Finland known for its strong Swedish-speaking population, flat landscapes, and historic maritime and agricultural traditions.
  • C. Pirkanmaa region
    Pirkanmaa region is a province in southern Finland centered around the city of Tampere, known for its lakes, industry, and cultural significance.
  • D. Southwest Finland
    Southwest Finland is a coastal region of Finland known for its historic towns, archipelago landscapes, and the former capital city of Turku.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abde12b33481908b276760a922db9c completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1f852ebbc8190885b819a79719c6d completed March 11, 2026, 11:18 p.m.
Created at: March 6, 2026, 9:58 p.m.