Triple

T15751197
Position Surface form Disambiguated ID Type / Status
Subject Salten E381847 entity
Predicate hasRiver P165 FINISHED
Object Beiarelva
Beiarelva is a river in the Salten region of Nordland county in northern Norway, known for its scenic valley and salmon fishing.
E1176436 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: Beiarelva | Statement: [Salten, hasRiver, Beiarelva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beiarelva
Context triple: [Salten, hasRiver, Beiarelva]
  • 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. Stryneelva
    Stryneelva is a river in western Norway that flows from the Jostedalsbreen glacier through the scenic Stryn area.
  • C. Fykseelva
    Fykseelva is a river flowing through the municipality of Kvam in Vestland county, western Norway, known for its scenic valley and salmon fishing.
  • D. Steinsdalselva
    Steinsdalselva is a river in the municipality of Kvam in Vestland county, western Norway, known for flowing through a scenic valley landscape.
  • 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. 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: Beiarelva
Triple: [Salten, hasRiver, Beiarelva]
Generated description
Beiarelva is a river in the Salten region of Nordland county in northern Norway, known for its scenic valley and salmon fishing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beiarelva
Target entity description: Beiarelva is a river in the Salten region of Nordland county in northern 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. Stryneelva
    Stryneelva is a river in western Norway that flows from the Jostedalsbreen glacier through the scenic Stryn area.
  • C. Fykseelva
    Fykseelva is a river flowing through the municipality of Kvam in Vestland county, western Norway, known for its scenic valley and salmon fishing.
  • D. Steinsdalselva
    Steinsdalselva is a river in the municipality of Kvam in Vestland county, western Norway, known for flowing through a scenic valley landscape.
  • 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. 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05030e31081908c307a8dc7067db4 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9094b4008190bb5c65fa2bd0f0b5 completed May 9, 2026, 7:52 p.m.
NEDg Description generation batch_69ff92c07f60819089c3faeea98e329c completed May 9, 2026, 8:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff9383ff1c81909e34995818a3c3f7 completed May 9, 2026, 8:05 p.m.
Created at: April 10, 2026, 4:47 a.m.