Triple

T7456591
Position Surface form Disambiguated ID Type / Status
Subject Vantaa E172139 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: [Vantaa, locatedIn, Uusimaa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uusimaa
Context triple: [Vantaa, 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. Setomaa region
    Setomaa region is a culturally distinct border area between southeastern Estonia and Russia, known for its Seto people, unique traditions, and preservation of the South Estonian language.
  • E. Southwest Finland
    Southwest Finland is a coastal region of Finland known for its historic towns, archipelago landscapes, and the former capital city of Turku.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3b0780881909e645160dd49eb57 completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c5bab90819093431470e0e8c0e3 completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 3:15 p.m.