Triple

T12969765
Position Surface form Disambiguated ID Type / Status
Subject Pirkanmaa E321361 entity
Predicate hasCity P316 FINISHED
Object Hämeenkyrö E580425 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: Hämeenkyrö | Statement: [Pirkanmaa, hasCity, Hämeenkyrö]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hämeenkyrö
Context triple: [Pirkanmaa, hasCity, Hämeenkyrö]
  • A. Hämeenkyrö chosen
    Hämeenkyrö is a rural municipality in the Pirkanmaa region of western Finland, known for its scenic lake landscapes and traditional Finnish countryside.
  • B. Janakkala
    Janakkala is a municipality in southern Finland known for its rural landscapes and historical churches, located within the Kanta-Häme region.
  • C. Hämeenkoski
    Hämeenkoski is a small municipality in southern Finland, historically part of the Häme region and known as the birthplace of former Finnish president Juho Kusti Paasikivi.
  • D. Pirkkala
    Pirkkala is a municipality in the Pirkanmaa region of southern Finland, located near the city of Tampere and known for its growing residential areas and proximity to Tampere-Pirkkala Airport.
  • E. Hämeenlinna
    Hämeenlinna is a historic city in southern Finland known for its medieval castle, cultural heritage, and role as a regional administrative and educational center.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e407e5081909424fc0c22483c28 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d445c4848190b5c97bb27be6c749 completed May 10, 2026, 6:53 p.m.
Created at: April 9, 2026, 8:34 p.m.