Triple

T3145131
Position Surface form Disambiguated ID Type / Status
Subject Oppland E65743 entity
Predicate traversedBy P225 FINISHED
Object Gudbrandsdalslågen river 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 river | Statement: [Oppland, traversedBy, Gudbrandsdalslågen river]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gudbrandsdalslågen river
Context triple: [Oppland, traversedBy, Gudbrandsdalslågen river]
  • A. Gudbrandsdalslågen chosen
    Gudbrandsdalslågen is a major river in eastern Norway that flows through the Gudbrandsdal valley and ultimately joins Lake Mjøsa.
  • B. Fyris River
    The Fyris River is a notable waterway in eastern Sweden that flows through the city of Uppsala and is closely associated with its history and landscape.
  • C. Arve River
    The Arve River is a glacial river in the Alps that flows through France and Switzerland, notably passing through Geneva before joining the Rhône.
  • D. Nidelva river
    Nidelva river is a river in southern Norway that flows through the county of Agder, including the municipality of Froland, before reaching the city of Arendal and the Skagerrak coast.
  • E. Lysakerelva
    Lysakerelva is a river in the Oslo area of Norway that forms part of the boundary between the municipalities of Oslo and Bærum and is known for its waterfalls, hiking paths, and historical industrial sites.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59797788190a8d71262888c5df0 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e81ab30481909d73aed49d4192a3 completed March 12, 2026, 4:21 p.m.
Created at: March 8, 2026, 3:05 p.m.