Triple

T13572071
Position Surface form Disambiguated ID Type / Status
Subject Ruovesi E324187 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Ylöjärvi E376966 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: Ylöjärvi | Statement: [Ruovesi, hasNeighboringMunicipality, Ylöjärvi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ylöjärvi
Context triple: [Ruovesi, hasNeighboringMunicipality, Ylöjärvi]
  • A. Ylöjärvi chosen
    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.
  • 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. 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. Järvenpää
    Järvenpää is a small city in southern Finland known for its lakeside setting and cultural heritage, including its association with composer Jean Sibelius.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0106cb48190b20eb9bda131a68a completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a023005e760819081b723a7246c78ce completed May 11, 2026, 7:37 p.m.
Created at: April 9, 2026, 9:48 p.m.