Triple

T22877880
Position Surface form Disambiguated ID Type / Status
Subject Nidelva E567375 entity
Predicate hasTributary P415 FINISHED
Object Bekkasinbekken
Bekkasinbekken is a small stream in Norway that serves as one of the minor tributaries feeding into the river Nidelva.
 E1558606 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: Bekkasinbekken | Statement: [Nidelva, hasTributary, Bekkasinbekken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bekkasinbekken
Context triple: [Nidelva, hasTributary, Bekkasinbekken]
  • A. Tøyenbekken
    Tøyenbekken is a street and small valley area in central Oslo, Norway, historically associated with the former stream that once ran through the district.
  • B. Selbekken
    Selbekken is a small village that serves as the administrative center of the former municipality of Agdenes in Trøndelag county, Norway.
  • C. Bingselva
    Bingselva is a river in the municipality of Øvre Eiker in Buskerud, Norway, known as a local watercourse in the Drammen region.
  • D. Stryneelva
    Stryneelva is a river in western Norway that flows from the Jostedalsbreen glacier through the scenic Stryn area.
  • E. Breimselva
    Breimselva is a river in the municipality of Gloppen in Vestland county, western Norway, known for its scenic valley landscape and salmon fishing.
  • 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: Bekkasinbekken
Triple: [Nidelva, hasTributary, Bekkasinbekken]
Generated description
Bekkasinbekken is a small stream in Norway that serves as one of the minor tributaries feeding into the river Nidelva.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bekkasinbekken
Target entity description: Bekkasinbekken is a small stream in Norway that serves as one of the minor tributaries feeding into the river Nidelva.
  • A. Tøyenbekken
    Tøyenbekken is a street and small valley area in central Oslo, Norway, historically associated with the former stream that once ran through the district.
  • B. Selbekken
    Selbekken is a small village that serves as the administrative center of the former municipality of Agdenes in Trøndelag county, Norway.
  • C. Bingselva
    Bingselva is a river in the municipality of Øvre Eiker in Buskerud, Norway, known as a local watercourse in the Drammen region.
  • D. Stryneelva
    Stryneelva is a river in western Norway that flows from the Jostedalsbreen glacier through the scenic Stryn area.
  • E. Breimselva
    Breimselva is a river in the municipality of Gloppen in Vestland county, western Norway, known for its scenic valley landscape and salmon fishing.
  • 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f5966c08190a9ded9b19b166112 completed April 29, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bae9c5fe481909ac18f8628af83f0 completed May 19, 2026, 12:28 a.m.
NEDg Description generation batch_6a0bafe8692c819094c6e511964f8b2e completed May 19, 2026, 12:33 a.m.
NED2 Entity disambiguation (via description) batch_6a0bb0abb2c481909c1897b302e92579 completed May 19, 2026, 12:36 a.m.
Created at: April 17, 2026, 3:39 p.m.