Triple

T15714737
Position Surface form Disambiguated ID Type / Status
Subject Region of Uusimaa E380931 entity
Predicate contains P35 FINISHED
Object Loviisa 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: Loviisa | Statement: [Region of Uusimaa, contains, Loviisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loviisa
Context triple: [Region of Uusimaa, contains, Loviisa]
  • A. Loviisa chosen
    Loviisa is a small coastal town and municipality in southern Finland known for its historic wooden houses, seaside location, and nuclear power plant.
  • B. Ylivieska
    Ylivieska is a small town in Northern Ostrobothnia, Finland, known as a regional commercial and service center along the Kalajoki River.
  • C. Kalajoki
    Kalajoki is a coastal town and municipality in Northern Ostrobothnia, Finland, known for its long sandy beaches and tourism.
  • D. Sotkamo
    Sotkamo is a municipality in eastern Finland known for its mining industry, outdoor recreation, and the popular Vuokatti ski and sports resort area.
  • E. Kirkee
    Kirkee is a cantonment town near Pune in Maharashtra, India, historically notable as the site of a major Anglo-Maratha War battle.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f90aea0819082a9e9fe0f7780b0 completed April 16, 2026, 2:55 a.m.
Created at: April 10, 2026, 4:45 a.m.