Triple

T13808140
Position Surface form Disambiguated ID Type / Status
Subject Lesja municipality E331811 entity
Predicate hasRiver P165 FINISHED
Object Lågen E98197 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: Lågen | Statement: [Lesja municipality, hasRiver, Lågen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lågen
Context triple: [Lesja municipality, hasRiver, Lågen]
  • A. Lågen chosen
    Lågen is a major river in southeastern Norway that flows through the Gudbrandsdalen valley before joining the Mjøsa lake.
  • B. Løten
    Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
  • C. Långlöt
    Långlöt is a small locality on the island of Öland in southeastern Sweden, known for its rural landscape and traditional agricultural surroundings.
  • D. Lakkjia
    Lakkjia is an alternative name for the Lakkia language, a Kam–Sui language spoken by the Lakkia people in parts of southern China.
  • E. Luoravetlan
    Luoravetlan is an indigenous people of northeastern Siberia, traditionally semi-nomadic reindeer herders and coastal hunters living in the Chukotka region of Russia.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026eae8481908b8880635e6a9152 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8dc1ec0819098c4f32eb3991613 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.