Triple

T15714736
Position Surface form Disambiguated ID Type / Status
Subject Region of Uusimaa E380931 entity
Predicate contains P35 FINISHED
Object Lapinjärvi E997121 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: Lapinjärvi | Statement: [Region of Uusimaa, contains, Lapinjärvi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lapinjärvi
Context triple: [Region of Uusimaa, contains, Lapinjärvi]
  • A. Lapinjärvi chosen
    Lapinjärvi is a small rural municipality in southern Finland, located within the Greater Helsinki region.
  • B. Jalasjärvi
    Jalasjärvi is a former municipality in western Finland, known for its rural landscapes and location along major transport routes.
  • C. Ristijärvi
    Ristijärvi is a small rural municipality in the Kainuu region of eastern Finland, known for its forests, lakes, and outdoor recreation opportunities.
  • D. Kemijärvi
    Kemijärvi is a town and municipality in Finnish Lapland known for its surrounding lakes, forests, and position as a northern gateway to outdoor and winter sports activities.
  • E. Lappajärvi
    Lappajärvi is a municipality in western Finland known for its large meteorite crater lake of the same name.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f90aea0819082a9e9fe0f7780b0 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa12713588190a888d6f6dd4290e1 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:45 a.m.