Triple

T17032175
Position Surface form Disambiguated ID Type / Status
Subject Luostarinmäki Museum Quarter E413225 entity
Predicate ownedBy P347 FINISHED
Object City of Turku E90238 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 Turku | Statement: [Luostarinmäki Museum Quarter, ownedBy, City of Turku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Turku
Context triple: [Luostarinmäki Museum Quarter, ownedBy, City of Turku]
  • A. City of Kauniainen
    The City of Kauniainen is a small, affluent municipality completely surrounded by Espoo in the Helsinki metropolitan area of Finland, known for its high quality of life and strong public services.
  • B. Turku chosen
    Turku is one of Finland’s oldest and historically most important cities, located on the southwest coast and known for its medieval heritage and major Baltic Sea port.
  • C. Porvoo
    Porvoo is a historic coastal city in southern Finland known for its well-preserved wooden Old Town and medieval cathedral.
  • D. Kempele
    Kempele is a rapidly growing municipality in Northern Ostrobothnia, Finland, located just south of the city of Oulu.
  • E. Naantali
    Naantali is a coastal town in southwestern Finland known for its historic wooden old town, spa traditions, and the popular Moomin World theme park.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8ed79448190a750a29a99913fda completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012336cfd481909f93c6ea7c94b49f completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.