Triple

T20239498
Position Surface form Disambiguated ID Type / Status
Subject Lake Päijänne E498243 entity
Predicate hasCityOnShore P969 FINISHED
Object Jämsä 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: Jämsä | Statement: [Lake Päijänne, hasCityOnShore, Jämsä]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jämsä
Context triple: [Lake Päijänne, hasCityOnShore, Jämsä]
  • A. Jämsä chosen
    Jämsä is a town and municipality in central Finland known for its forest industry, outdoor recreation, and proximity to major ski and holiday resorts.
  • B. Kalajoki
    Kalajoki is a coastal town and municipality in Northern Ostrobothnia, Finland, known for its long sandy beaches and tourism.
  • C. 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.
  • D. Sotkamo
    Sotkamo is a municipality in eastern Finland known for its mining industry, outdoor recreation, and the popular Vuokatti ski and sports resort area.
  • E. Kilpisjärvi
    Kilpisjärvi is a remote village in northwestern Finnish Lapland, near the borders with Sweden and Norway, known for its Arctic landscapes, hiking opportunities, and proximity to the Saana fell.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716dd0b081909d4063150cdc0c02 completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.