Triple

T12190927
Position Surface form Disambiguated ID Type / Status
Subject Espoo City Theatre E290457 entity
Predicate ownedBy P347 FINISHED
Object City of Espoo E58506 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: City of Espoo | Statement: [Espoo City Theatre, ownedBy, City of Espoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Espoo
Context triple: [Espoo City Theatre, ownedBy, City of Espoo]
  • A. Espoo
    Espoo is Finland’s second-largest city, located just west of Helsinki on the southern coast, known for its technology industry, natural landscapes, and role as part of the Helsinki metropolitan area.
  • B. 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.
  • C. Kiekko-Espoo
    Kiekko-Espoo is a Finnish ice hockey club based in Espoo that has competed in the country’s top professional leagues under various organizational forms.
  • D. Uusikaupunki
    Uusikaupunki is a coastal town and municipality in southwestern Finland known for its maritime heritage and automotive industry.
  • E. Espoo, Finland chosen
    Espoo, Finland is a major city in the Helsinki metropolitan area known as a technology and innovation hub that has long hosted the corporate headquarters of Nokia.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c5340248190b79379423f3a3ca1 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff56ade75c8190b556c3b0ba692a96 completed May 9, 2026, 3:45 p.m.
Created at: April 8, 2026, 9:50 p.m.