Triple

T12660510
Position Surface form Disambiguated ID Type / Status
Subject Espoo E302409 entity
Predicate hasDistrict P459 FINISHED
Object Leppävaara E398685 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: Leppävaara | Statement: [Espoo, hasDistrict, Leppävaara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leppävaara
Context triple: [Espoo, hasDistrict, Leppävaara]
  • A. Leppävaara chosen
    Leppävaara is a major urban district and transport hub in Espoo, Finland, known for its large shopping center Sello and extensive rail and bus connections.
  • B. Kankaanpää
    Kankaanpää is a small town and municipality in the Satakunta region of western Finland, known for its surrounding forests and lakes.
  • C. Järvenpää
    Järvenpää is a small city in southern Finland known for its lakeside setting and cultural heritage, including its association with composer Jean Sibelius.
  • D. Lempäälä
    Lempäälä is a municipality in the Pirkanmaa region of southern Finland, known for its lakeside landscapes and proximity to the city of Tampere.
  • E. Rantasalmi
    Rantasalmi is a rural municipality in the Southern Savonia region of eastern Finland, known for its lakeside landscapes and traditional Finnish countryside.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617b07ec8190b714f04ae6654060 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0035428e608190b8bb41dabda044d1 completed May 10, 2026, 7:35 a.m.
Created at: April 9, 2026, 5:19 p.m.