Triple

T12792161
Position Surface form Disambiguated ID Type / Status
Subject Myrskylä E305794 entity
Predicate sharesBorderWith P224 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: [Myrskylä, sharesBorderWith, Lapinjärvi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lapinjärvi
Context triple: [Myrskylä, sharesBorderWith, 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6b55248190ab938e69eb263612 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ebeab2081908a6e38351613e3ed completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:30 p.m.