Triple

T18693466
Position Surface form Disambiguated ID Type / Status
Subject Sako E457056 entity
Predicate headquartersLocation P62 FINISHED
Object Riihimäki, 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: Riihimäki, Finland | Statement: [Sako, headquartersLocation, Riihimäki, Finland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riihimäki, Finland
Context triple: [Sako, headquartersLocation, Riihimäki, Finland]
  • A. Riihimäki, Finland
    Riihimäki, Finland is a small town in southern Finland known for its glass industry heritage and as the birthplace of film director Renny Harlin.
  • B. Riihimäki chosen
    Riihimäki is a Finnish town known as a regional railway hub and industrial center located north of Helsinki.
  • 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. Paimio
    Paimio is a small Finnish town best known for the modernist Paimio Sanatorium designed by architect Alvar Aalto.
  • E. Keuruu, Finland
    Keuruu, Finland is a small town and municipality in Central Finland known for its lakeside scenery and traditional wooden church architecture.
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e581f48190997d279296a31e7f completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.