Triple

T17371111
Position Surface form Disambiguated ID Type / Status
Subject Flå E422314 entity
Predicate hasRiver P165 FINISHED
Object Hallingdalselva 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: Hallingdalselva | Statement: [Flå, hasRiver, Hallingdalselva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hallingdalselva
Context triple: [Flå, hasRiver, Hallingdalselva]
  • A. Hallingdalselva chosen
    Hallingdalselva is a major river in eastern Norway known for flowing through the Hallingdal valley and supporting hydropower production, fishing, and outdoor recreation.
  • B. Steinsdalselva
    Steinsdalselva is a river in the municipality of Kvam in Vestland county, western Norway, known for flowing through a scenic valley landscape.
  • C. Verdalselva
    Verdalselva is a river in Trøndelag county, Norway, known for flowing through the Verdalen valley and supporting local agriculture, recreation, and salmon fishing.
  • D. Saltdalselva
    Saltdalselva is a river in Nordland county, Norway, known for flowing through the Saltdal valley and offering notable salmon fishing and scenic natural landscapes.
  • E. Tovdalselva
    Tovdalselva is a major river in Southern Norway known for its scenic valley, salmon fishing, and role in the region’s natural and cultural landscape.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a68ff448190b505861e56df5b6d completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:44 a.m.