Triple

T13245865
Position Surface form Disambiguated ID Type / Status
Subject Western Finland E315400 entity
Predicate includesCity P3207 FINISHED
Object Seinäjoki E368576 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: Seinäjoki | Statement: [Western Finland, includesCity, Seinäjoki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seinäjoki
Context triple: [Western Finland, includesCity, Seinäjoki]
  • A. Seinäjoki chosen
    Seinäjoki is a city in Southern Ostrobothnia, Finland, known as a regional commercial and cultural center with distinctive modernist architecture by Alvar Aalto.
  • B. Nurmijärvi
    Nurmijärvi is a municipality in southern Finland known for being one of the largest rural municipalities in the country and part of the Greater Helsinki region.
  • C. Ruovesi
    Ruovesi is a municipality in the Pirkanmaa region of Finland, known for its lakeside landscapes that have inspired Finnish artists and writers.
  • D. Ylöjärvi
    Ylöjärvi is a municipality in the Pirkanmaa region of western Finland, located near the city of Tampere and known for its lakes and natural surroundings.
  • E. Leppävirta
    Leppävirta is a municipality in the Northern Savonia region of eastern Finland, known for its lakes, forests, and outdoor recreation opportunities.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5c09f88190bb1566a6d8c073a6 completed April 10, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01953c493c819084850ab8e7f0d261 completed May 11, 2026, 8:37 a.m.
Created at: April 9, 2026, 9:23 p.m.