Triple

T21129159
Position Surface form Disambiguated ID Type / Status
Subject Kemijärvi E520636 entity
Predicate nearbySkiResort P1981 FINISHED
Object Pyhä NE NERFINISHED

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: Pyhä | Statement: [Kemijärvi, nearbySkiResort, Pyhä]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pyhä
Context triple: [Kemijärvi, nearbySkiResort, Pyhä]
  • A. Pyhäntä
    Pyhäntä is a small rural municipality in northern Finland known for its forests, lakes, and sparsely populated countryside.
  • B. Pyhäranta
    Pyhäranta is a small coastal municipality in western Finland known for its rural landscapes and proximity to the Baltic Sea.
  • C. Pyhä-Luosto fells chosen
    Pyhä-Luosto fells are an ancient chain of rounded, forested hills in Finnish Lapland known for their scenic landscapes, outdoor recreation, and geological significance.
  • D. Haapamäki
    Haapamäki is a village in Keuruu, Finland, known as a historic railway junction and hub in the Finnish rail network.
  • E. Hyrylä
    Hyrylä is the main built-up area and administrative center of the municipality of Tuusula in southern Finland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7223b4c4c8190b9fffa610588651e completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 2:56 p.m.