Triple

T17760045
Position Surface form Disambiguated ID Type / Status
Subject Suwałki E443345 entity
Predicate hasTwinTown P919 FINISHED
Object Loimaa, 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: Loimaa, Finland | Statement: [Suwałki, hasTwinTown, Loimaa, Finland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loimaa, Finland
Context triple: [Suwałki, hasTwinTown, Loimaa, Finland]
  • A. 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.
  • B. Loimaa chosen
    Loimaa is a town and municipality in southwestern Finland known for its agricultural surroundings and small-town character.
  • C. Kirkkonummi, Finland
    Kirkkonummi, Finland is a coastal municipality in southern Finland near Helsinki, known for its natural landscapes and as the birthplace of architect Eero Saarinen.
  • D. 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.
  • E. Valkeakoski, Finland
    Valkeakoski is an industrial town and municipality in southern Finland known for its paper mills and lakeside setting between Tampere and Hämeenlinna.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48421c3048190b26864b72aad0d70 completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 10:10 a.m.