Triple

T12159005
Position Surface form Disambiguated ID Type / Status
Subject Central Finland E289654 entity
Predicate hasMunicipality P847 FINISHED
Object Muurame E1058724 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: Muurame | Statement: [Central Finland, hasMunicipality, Muurame]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muurame
Context triple: [Central Finland, hasMunicipality, Muurame]
  • A. Muurame chosen
    Muurame is a small municipality in Central Finland known for its scenic lake landscapes and proximity to the city of Jyväskylä.
  • B. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • C. Miyazu
    Miyazu is a coastal city in northern Kyoto Prefecture, Japan, best known as the gateway to the scenic sandbar Amanohashidate, one of Japan’s traditional “Three Views.”
  • D. Machimura
    Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
  • E. Teimei
    Teimei is the posthumous name of the Japanese empress consort of Emperor Taishō, who served as Empress of Japan in the early 20th century.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c277e481908351bf4e664dda42 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ccb9c3481908820f7620102e373 completed May 8, 2026, 4:18 p.m.
Created at: April 8, 2026, 9:50 p.m.