Triple

T20861678
Position Surface form Disambiguated ID Type / Status
Subject Suomusjärvi E513632 entity
Predicate category P87 FINISHED
Object Salo, Finland 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: Salo, Finland | Statement: [Suomusjärvi, category, Salo, Finland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salo, Finland
Context triple: [Suomusjärvi, category, Salo, Finland]
  • A. Salo, Finland chosen
    Salo, Finland is a small city in Southwest Finland known historically for its electronics industry and as the birthplace of several prominent Finnish figures.
  • B. Somero, Finland
    Somero is a small town and municipality in southwestern Finland known for its rural landscapes and traditional Finnish countryside culture.
  • C. Kärkölä, Finland
    Kärkölä, Finland is a small rural municipality in the Päijät-Häme region of southern Finland known as the birthplace of the country’s second president, Lauri Kristian Relander.
  • D. Kurki, Finland
    Kurki is a locality in Finland notable as the birthplace of Lauri Kristian Relander, the second President of Finland.
  • E. Pirkkala, Finland
    Pirkkala, Finland is a municipality in the Pirkanmaa region of southern Finland, known for its proximity to the city of Tampere and its role as a local residential and transport hub.
  • 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3ad3d1c8190be2fe35a85f2447c completed April 21, 2026, 12:24 a.m.
Created at: April 16, 2026, 12:44 p.m.