Triple

T13253785
Position Surface form Disambiguated ID Type / Status
Subject Nurmijärvi E315603 entity
Predicate hasBorderWith P224 FINISHED
Object Hausjärvi E760582 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: Hausjärvi | Statement: [Nurmijärvi, hasBorderWith, Hausjärvi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hausjärvi
Context triple: [Nurmijärvi, hasBorderWith, Hausjärvi]
  • A. Hausjärvi chosen
    Hausjärvi is a rural municipality in the Kanta-Häme region of southern Finland, known for its small villages and agricultural landscape.
  • B. Ristijärvi
    Ristijärvi is a small rural municipality in the Kainuu region of eastern Finland, known for its forests, lakes, and outdoor recreation opportunities.
  • C. Vesijärvi
    Vesijärvi is a lake in the Päijät-Häme region of southern Finland, known for its recreational use and proximity to the city of Lahti.
  • D. Jalasjärvi
    Jalasjärvi is a former municipality in western Finland, known for its rural landscapes and location along major transport routes.
  • E. Rautjärvi
    Rautjärvi is a municipality in South Karelia, southeastern Finland, known for its rural landscapes, lakes, and proximity to the Russian border.
  • 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_69d98f7517048190b4eac4e44e81ff66 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a3d6b808190b4ae5225961de03f completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:24 p.m.