Triple

T11346849
Position Surface form Disambiguated ID Type / Status
Subject Mikko Koivu E268736 entity
Predicate placeOfBirth P1 FINISHED
Object Turku, Finland E90238 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: Turku, Finland | Statement: [Mikko Koivu, placeOfBirth, Turku, Finland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turku, Finland
Context triple: [Mikko Koivu, placeOfBirth, Turku, Finland]
  • A. Turku chosen
    Turku is one of Finland’s oldest and historically most important cities, located on the southwest coast and known for its medieval heritage and major Baltic Sea port.
  • B. 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.
  • C. Helsinki
    Helsinki is the capital and largest city of Finland, known for its coastal location on the Baltic Sea, modern design, and vibrant cultural life.
  • D. Naantali
    Naantali is a coastal town in southwestern Finland known for its historic wooden old town, spa traditions, and the popular Moomin World theme park.
  • E. Tampere
    Tampere is a major industrial and cultural city in southern Finland, historically significant as a key battleground in the Finnish Civil War.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea214bb88190bb66f7fd3ef73081 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d320c39c8190a3d28aa065ededea completed April 20, 2026, 7:17 a.m.
Created at: April 8, 2026, 9:33 p.m.