Triple

T11422360
Position Surface form Disambiguated ID Type / Status
Subject Töölö E270655 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: [Töölö, borderedBy, Kamppi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamppi
Context triple: [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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b357e88190ace56d36a945688f completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8a1e88c8190994bea88a0490e60 completed April 20, 2026, 5:24 a.m.
Created at: April 8, 2026, 9:34 p.m.