Triple

T13853608
Position Surface form Disambiguated ID Type / Status
Subject Randsfjorden E333004 entity
Predicate hasOutflow P967 FINISHED
Object Randselva E489292 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: Randselva | Statement: [Randsfjorden, hasOutflow, Randselva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randselva
Context triple: [Randsfjorden, hasOutflow, 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. Verdalselva
    Verdalselva is a river in Trøndelag county, Norway, known for flowing through the Verdalen valley and supporting local agriculture, recreation, and salmon fishing.
  • C. 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.
  • D. Målselva
    Målselva is a major river in Troms, northern Norway, known for its salmon fishing and scenic valley landscapes.
  • E. Hallingdalselva
    Hallingdalselva is a major river in eastern Norway known for flowing through the Hallingdal valley and supporting hydropower production, fishing, and outdoor recreation.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02da9460819093a3ec5a3c62ea81 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce6c0c3c8190911b56b20c9eb955 completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:14 p.m.