Triple

T19555356
Position Surface form Disambiguated ID Type / Status
Subject Randselva E489292 entity
Predicate hasNorwegianName P1435 FINISHED
Object Randselva 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: Randselva | Statement: [Randselva, hasNorwegianName, Randselva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randselva
Context triple: [Randselva, hasNorwegianName, Randselva]
  • A. Randselva chosen
    Randselva is a river in eastern Norway that drains into Randsfjorden and is known for flowing through the Hønefoss area.
  • 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. 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.
  • E. Målselva
    Målselva is a major river in Troms, northern Norway, known for its salmon fishing and scenic valley landscapes.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d335f888190abfc5ba974d3c65e completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:42 p.m.