Triple

T18240672
Position Surface form Disambiguated ID Type / Status
Subject Nedre Eiker E436799 entity
Predicate hasSettlement P1068 FINISHED
Object Krokstadelva 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: Krokstadelva | Statement: [Nedre Eiker, hasSettlement, Krokstadelva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krokstadelva
Context triple: [Nedre Eiker, hasSettlement, Krokstadelva]
  • A. Krokstadelva chosen
    Krokstadelva is a town in Viken county, Norway, situated along the Drammenselva river and known historically for its industrial and residential character.
  • B. Fykseelva
    Fykseelva is a river flowing through the municipality of Kvam in Vestland county, western Norway, known for its scenic valley and salmon fishing.
  • 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. Børselva
    Børselva is a river in northern Norway known for flowing into Porsangerfjorden and for its scenic Arctic landscape and salmon fishing.
  • E. Steinkjerelva
    Steinkjerelva is a river in Trøndelag county, Norway, that flows through the town of Steinkjer before emptying into the inner part of the Trondheimsfjord.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e287548190b666a990e5b168b0 completed April 19, 2026, 3:42 p.m.
Created at: April 10, 2026, 10:33 a.m.