Triple

T16027220
Position Surface form Disambiguated ID Type / Status
Subject Bremanger E388745 entity
Predicate hasRiver P165 FINISHED
Object Svelgselva
Svelgselva is a river located in the municipality of Bremanger in Vestland county, western Norway, known for flowing through a rugged coastal landscape.
E1200991 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: Svelgselva | Statement: [Bremanger, hasRiver, Svelgselva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Svelgselva
Context triple: [Bremanger, hasRiver, Svelgselva]
  • A. Fykseelva
    Fykseelva is a river flowing through the municipality of Kvam in Vestland county, western Norway, known for its scenic valley and salmon fishing.
  • B. Stryneelva
    Stryneelva is a river in western Norway that flows from the Jostedalsbreen glacier through the scenic Stryn area.
  • 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. Breimselva
    Breimselva is a river in the municipality of Gloppen in Vestland county, western Norway, known for its scenic valley landscape and salmon fishing.
  • E. Sauarelva
    Sauarelva is a river in Telemark, Norway, that serves as a tributary feeding into the lake Norsjø.
  • 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: Svelgselva
Triple: [Bremanger, hasRiver, Svelgselva]
Generated description
Svelgselva is a river located in the municipality of Bremanger in Vestland county, western Norway, known for flowing through a rugged coastal landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Svelgselva
Target entity description: Svelgselva is a river located in the municipality of Bremanger in Vestland county, western Norway, known for flowing through a rugged coastal landscape.
  • A. Fykseelva
    Fykseelva is a river flowing through the municipality of Kvam in Vestland county, western Norway, known for its scenic valley and salmon fishing.
  • B. Stryneelva
    Stryneelva is a river in western Norway that flows from the Jostedalsbreen glacier through the scenic Stryn area.
  • 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. Breimselva
    Breimselva is a river in the municipality of Gloppen in Vestland county, western Norway, known for its scenic valley landscape and salmon fishing.
  • E. Sauarelva
    Sauarelva is a river in Telemark, Norway, that serves as a tributary feeding into the lake Norsjø.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18328707c8190b9a444c78faaaa04 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00077c8e2881909a11a4c53691d187 completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a000a96d71881909dc1736b7fd6ac3e completed May 10, 2026, 4:33 a.m.
NED2 Entity disambiguation (via description) batch_6a000af74b448190bef37fbe3a70fedd completed May 10, 2026, 4:35 a.m.
Created at: April 10, 2026, 4:56 a.m.