Triple

T4458756
Position Surface form Disambiguated ID Type / Status
Subject Lågen E98197 entity
Predicate alsoKnownAs P39 FINISHED
Object Gudbrandsdalslågen E102941 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: Gudbrandsdalslågen | Statement: [Lågen, alsoKnownAs, Gudbrandsdalslågen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gudbrandsdalslågen
Context triple: [Lågen, alsoKnownAs, Gudbrandsdalslågen]
  • A. Gudbrandsdalslågen chosen
    Gudbrandsdalslågen is a major river in eastern Norway that flows through the Gudbrandsdal valley and ultimately joins Lake Mjøsa.
  • B. Gudbrandsdalen
    Gudbrandsdalen is a major valley in Norway known for its dramatic landscapes, traditional farming culture, and historic role as a key inland travel route.
  • C. Numedalslågen
    Numedalslågen is one of Norway’s longest rivers, flowing from the Hardangervidda plateau through the Numedal valley to the Larvik fjord in Eastern Norway.
  • D. Glåma
    Glåma is the longest and largest river in Norway, flowing through eastern parts of the country before emptying into the Oslofjord.
  • E. Namdalen
    Namdalen is a traditional district and valley region in central Norway, known for its rivers, forests, and coastal landscapes within the county of Trøndelag.
  • 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3567184f481908a2787e4ac9bb345 completed March 13, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b65f3b9950819085c285defda52d51 completed March 15, 2026, 7:26 a.m.
Created at: March 12, 2026, 11:33 p.m.