Triple

T18455248
Position Surface form Disambiguated ID Type / Status
Subject Sanna Marin E450887 entity
Predicate residence P75 FINISHED
Object Tampere, Finland NE NERFINISHED

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: Tampere, Finland | Statement: [Sanna Marin, residence, Tampere, Finland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tampere, Finland
Context triple: [Sanna Marin, residence, Tampere, Finland]
  • A. Espoo, Finland
    Espoo, Finland is a major city in the Helsinki metropolitan area known as a technology and innovation hub that has long hosted the corporate headquarters of Nokia.
  • B. Tampere chosen
    Tampere is a major industrial and cultural city in southern Finland, historically significant as a key battleground in the Finnish Civil War.
  • C. Riihimäki, Finland
    Riihimäki, Finland is a small town in southern Finland known for its glass industry heritage and as the birthplace of film director Renny Harlin.
  • D. Kirkkonummi, Finland
    Kirkkonummi, Finland is a coastal municipality in southern Finland near Helsinki, known for its natural landscapes and as the birthplace of architect Eero Saarinen.
  • E. Vantaa, Finland
    Vantaa, Finland is a major city in the Helsinki metropolitan area best known for hosting Helsinki Airport and serving as an important transportation and commercial hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264c10408190b2085ade88655c7d completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:31 a.m.