Triple

T17011261
Position Surface form Disambiguated ID Type / Status
Subject Etu-Töölö E412704 entity
Predicate borderedBy P224 FINISHED
Object Kamppi E650038 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: Kamppi | Statement: [Etu-Töölö, borderedBy, Kamppi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamppi
Context triple: [Etu-Töölö, borderedBy, Kamppi]
  • A. Kamppi district chosen
    Kamppi district is a central neighborhood in Helsinki, Finland, known as a major commercial, cultural, and transportation hub of the city.
  • B. Raasepori
    Raasepori is a coastal town and municipality in southern Finland known for its medieval castle ruins and historic wooden town of Ekenäs.
  • C. 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.
  • D. Munkkiniemi
    Munkkiniemi is a residential district in western Helsinki, Finland, known for its seaside location, parks, and notable architecture.
  • E. Hietaniemi
    Hietaniemi is a district in Helsinki, Finland, known for its seaside location, cemetery, and popular recreational areas including Hietaniemi Beach.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47bcb508190a799f0bad6b70245 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b46e89c81908271eb22b535c558 completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:33 a.m.