Triple

T15302567
Position Surface form Disambiguated ID Type / Status
Subject Kvam E365823 entity
Predicate hasRiver P165 FINISHED
Object Fykseelva
Fykseelva is a river flowing through the municipality of Kvam in Vestland county, western Norway, known for its scenic valley and salmon fishing.
E1157046 NE FINISHED

How this triple was built (4 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: Fykseelva | Statement: [Kvam, hasRiver, Fykseelva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fykseelva
Context triple: [Kvam, hasRiver, Fykseelva]
  • A. Verdalselva
    Verdalselva is a river in Trøndelag county, Norway, known for flowing through the Verdalen valley and supporting local agriculture, recreation, and salmon fishing.
  • B. Børselva
    Børselva is a river in northern Norway known for flowing into Porsangerfjorden and for its scenic Arctic landscape and salmon fishing.
  • C. Stryneelva
    Stryneelva is a river in western Norway that flows from the Jostedalsbreen glacier through the scenic Stryn area.
  • D. Krokstadelva
    Krokstadelva is a town in Viken county, Norway, situated along the Drammenselva river and known historically for its industrial and residential character.
  • E. Lærdalselvi
    Lærdalselvi is a renowned salmon river in western Norway, flowing through the Lærdal valley to the Sognefjord and known for both its fishing and scenic landscape.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fykseelva
Triple: [Kvam, hasRiver, Fykseelva]
Generated description
Fykseelva is a river flowing through the municipality of Kvam in Vestland county, western Norway, known for its scenic valley and salmon fishing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fykseelva
Target entity description: Fykseelva is a river flowing through the municipality of Kvam in Vestland county, western Norway, known for its scenic valley and salmon fishing.
  • A. Verdalselva
    Verdalselva is a river in Trøndelag county, Norway, known for flowing through the Verdalen valley and supporting local agriculture, recreation, and salmon fishing.
  • B. Børselva
    Børselva is a river in northern Norway known for flowing into Porsangerfjorden and for its scenic Arctic landscape and salmon fishing.
  • C. Stryneelva
    Stryneelva is a river in western Norway that flows from the Jostedalsbreen glacier through the scenic Stryn area.
  • D. Krokstadelva
    Krokstadelva is a town in Viken county, Norway, situated along the Drammenselva river and known historically for its industrial and residential character.
  • E. Lærdalselvi
    Lærdalselvi is a renowned salmon river in western Norway, flowing through the Lærdal valley to the Sognefjord and known for both its fishing and scenic landscape.
  • F. None of above. chosen

Provenance (5 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccd575c8190aa43262d3b73ef3c completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21945b60819098ea91d9693cb8e3 completed May 9, 2026, 11:59 a.m.
NEDg Description generation batch_69ff225ba3bc8190b57da931ffa240fe completed May 9, 2026, 12:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff2339ae808190bf2d4676215399c0 completed May 9, 2026, 12:06 p.m.
Created at: April 10, 2026, 3:15 a.m.