Triple

T12969770
Position Surface form Disambiguated ID Type / Status
Subject Pirkanmaa E321361 entity
Predicate hasCity P316 FINISHED
Object Ruovesi E324187 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: Ruovesi | Statement: [Pirkanmaa, hasCity, Ruovesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruovesi
Context triple: [Pirkanmaa, hasCity, Ruovesi]
  • A. Ruovesi chosen
    Ruovesi is a municipality in the Pirkanmaa region of Finland, known for its lakeside landscapes that have inspired Finnish artists and writers.
  • 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. 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.
  • D. Seinäjoki
    Seinäjoki is a city in Southern Ostrobothnia, Finland, known as a regional commercial and cultural center with distinctive modernist architecture by Alvar Aalto.
  • E. Kuokkala
    Kuokkala is a former Finnish locality on the Karelian Isthmus, now known as Repino in Saint Petersburg, Russia.
  • 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_6a00dbf2567c81909ab6054ade27afac completed May 10, 2026, 7:26 p.m.
Created at: April 9, 2026, 8:34 p.m.