Triple

T13953814
Position Surface form Disambiguated ID Type / Status
Subject Femundsmarka National Park E335602 entity
Predicate nearestVillage P3883 FINISHED
Object Elgå E433554 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: Elgå | Statement: [Femundsmarka National Park, nearestVillage, Elgå]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elgå
Context triple: [Femundsmarka National Park, nearestVillage, Elgå]
  • A. Elgå chosen
    Elgå is a small lakeside village in eastern Norway, known as a gateway to Femundsmarka National Park and a base for outdoor activities around Lake Femunden.
  • B. Birkenes
    Birkenes is a rural municipality in Agder county in southern Norway, known for its forests, rivers, and small villages.
  • C. Stordal
    Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
  • D. Borgå
    Borgå is a historic coastal city in southern Finland, known in Finnish as Porvoo and noted for its well-preserved wooden old town and medieval cathedral.
  • E. Lessebo
    Lessebo is a small locality and municipality in southern Sweden known for its traditional paper mill and glassmaking heritage.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e146720819085d0f5eae558b7a4 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1d0735c81909ec0eab090af08a1 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:17 p.m.