Triple

T11275050
Position Surface form Disambiguated ID Type / Status
Subject Tapiola Church E266913 entity
Predicate partOf P40 FINISHED
Object Tapiola garden city E293482 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: Tapiola garden city | Statement: [Tapiola Church, partOf, Tapiola garden city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tapiola garden city
Context triple: [Tapiola Church, partOf, Tapiola garden city]
  • A. Tapiola chosen
    Tapiola is a well-known garden city–style district in Espoo, Finland, recognized for its modernist architecture, green spaces, and cultural amenities.
  • B. Munkkiniemi
    Munkkiniemi is a residential district in western Helsinki, Finland, known for its seaside location, parks, and notable architecture.
  • C. Raasepori
    Raasepori is a coastal town and municipality in southern Finland known for its medieval castle ruins and historic wooden town of Ekenäs.
  • D. Toijala
    Toijala is a town in southern Finland that serves as the central administrative and service hub of the municipality of Akaa.
  • E. Paimio
    Paimio is a small Finnish town best known for the modernist Paimio Sanatorium designed by architect Alvar Aalto.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e966cb4c8190bc410d7e623e54db completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f445792c8190962d94aa71f328d9 completed April 19, 2026, 3:27 p.m.
Created at: April 8, 2026, 9:31 p.m.