Triple

T10141152
Position Surface form Disambiguated ID Type / Status
Subject Vihti E231585 entity
Predicate borderedBy P224 FINISHED
Object Kirkkonummi E321412 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: Kirkkonummi | Statement: [Vihti, borderedBy, Kirkkonummi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirkkonummi
Context triple: [Vihti, borderedBy, Kirkkonummi]
  • A. Kirkkonummi chosen
    Kirkkonummi is a municipality in southern Finland, located just west of Helsinki on the coast of the Gulf of Finland.
  • B. Kuokkala
    Kuokkala is a former Finnish locality on the Karelian Isthmus, now known as Repino in Saint Petersburg, Russia.
  • C. Kuokkala
    Kuokkala is a residential district of the city of Jyväskylä in central Finland, known for its lakeside location and distinctive bridge connection to the city center.
  • D. Kankaanpää
    Kankaanpää is a small town and municipality in the Satakunta region of western Finland, known for its surrounding forests and lakes.
  • E. Vantaa
    Vantaa is a major city in the Helsinki metropolitan area of southern Finland, known for hosting Helsinki Airport and serving as an important commercial and residential hub.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2425008190a92c5148ed703d5c completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1243b14081909d07ab0ebb32cc68 completed April 27, 2026, 7:37 a.m.
Created at: March 30, 2026, 9:07 p.m.