Triple

T6304162
Position Surface form Disambiguated ID Type / Status
Subject Vestre Aker E141330 entity
Predicate contains P35 FINISHED
Object Besserud
Besserud is a residential neighborhood in Oslo, Norway, known for its proximity to the Holmenkollen area and access to outdoor recreational spaces.
 E584507 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: Besserud | Statement: [Vestre Aker, contains, Besserud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Besserud
Context triple: [Vestre Aker, contains, Besserud]
  • A. Lofsrud
    Lofsrud is a residential area and neighborhood within the Søndre Nordstrand borough of Oslo, Norway.
  • B. Ulvik
    Ulvik is a small scenic municipality and village area in Vestland county, Norway, known for its fjord landscape, fruit orchards, and location along the inner reaches of the Hardanger region.
  • C. Ulsrud
    Ulsrud is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its proximity to Ulsrudvannet lake and access to public transportation.
  • D. Rennebu
    Rennebu is a rural municipality in Trøndelag county, Norway, known for its distinctive Y-shaped church and scenic valley landscapes.
  • E. Gruden
    Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
  • 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: Besserud
Triple: [Vestre Aker, contains, Besserud]
Generated description
Besserud is a residential neighborhood in Oslo, Norway, known for its proximity to the Holmenkollen area and access to outdoor recreational spaces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Besserud
Target entity description: Besserud is a residential neighborhood in Oslo, Norway, known for its proximity to the Holmenkollen area and access to outdoor recreational spaces.
  • A. Lofsrud
    Lofsrud is a residential area and neighborhood within the Søndre Nordstrand borough of Oslo, Norway.
  • B. Ulvik
    Ulvik is a small scenic municipality and village area in Vestland county, Norway, known for its fjord landscape, fruit orchards, and location along the inner reaches of the Hardanger region.
  • C. Ulsrud
    Ulsrud is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its proximity to Ulsrudvannet lake and access to public transportation.
  • D. Rennebu
    Rennebu is a rural municipality in Trøndelag county, Norway, known for its distinctive Y-shaped church and scenic valley landscapes.
  • E. Gruden
    Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645f26a881909d5746151c0843cc completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e43e085081908546fa120a43bf84 completed March 27, 2026, 1:58 a.m.
NEDg Description generation batch_69c5e69033cc8190a4c3f88993620754 completed March 27, 2026, 2:08 a.m.
NED2 Entity disambiguation (via description) batch_69c5e73595288190a8c0696d7c1dc887 completed March 27, 2026, 2:11 a.m.
Created at: March 22, 2026, 4:28 p.m.