Triple

T18456277
Position Surface form Disambiguated ID Type / Status
Subject Oulu sub-region E450909 entity
Predicate hasMunicipality P847 FINISHED
Object Utajärvi NE NERFINISHED

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: Utajärvi | Statement: [Oulu sub-region, hasMunicipality, Utajärvi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Utajärvi
Context triple: [Oulu sub-region, hasMunicipality, Utajärvi]
  • A. Utajärvi chosen
    Utajärvi is a small municipality in Northern Ostrobothnia, Finland, known for its rural landscapes and location along the Oulujoki river.
  • B. Vaalajärvi
    Vaalajärvi is a small village located in the municipality of Sodankylä in Finnish Lapland.
  • C. Oulujärvi
    Oulujärvi is one of Finland’s largest lakes, located in the Kainuu region and known for its extensive archipelago and recreational opportunities.
  • D. Jalasjärvi
    Jalasjärvi is a former municipality in western Finland, known for its rural landscapes and location along major transport routes.
  • E. Nietjärvi
    Nietjärvi is a lake and surrounding area in eastern Finland known primarily as the site of a significant World War II battle between Finnish and Soviet forces.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264c10408190b2085ade88655c7d completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:31 a.m.