Triple

T4402893
Position Surface form Disambiguated ID Type / Status
Subject Pernå E93657 entity
Predicate mergedInto P77 FINISHED
Object Loviisa E307202 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: Loviisa | Statement: [Pernå, mergedInto, Loviisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loviisa
Context triple: [Pernå, mergedInto, 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. Imatra
    Imatra is a town and municipality in southeastern Finland known for its industrial history, proximity to the Russian border, and the Imatrankoski rapids.
  • D. Lempäälä
    Lempäälä is a municipality in the Pirkanmaa region of southern Finland, known for its lakeside landscapes and proximity to the city of Tampere.
  • E. Tuusula
    Tuusula is a municipality in southern Finland known for its lakeside landscapes and rich cultural history, particularly as a former home to many prominent Finnish artists.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b352d08a0c8190ac6c125df40eca75 completed March 12, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6f845ce48190a5feae21980530d6 completed March 21, 2026, 10:14 a.m.
Created at: March 12, 2026, 11:28 p.m.