Triple

T6306687
Position Surface form Disambiguated ID Type / Status
Subject Vestli E141392 entity
Predicate locatedIn P40 FINISHED
Object Stovner
Stovner is a residential borough in the northeastern part of Oslo, Norway, known for its diverse population and large housing estates.
E585227 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: Stovner | Statement: [Vestli, locatedIn, Stovner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stovner
Context triple: [Vestli, locatedIn, Stovner]
  • A. Storlien
    Storlien is a village and ski resort in central Sweden near the Norwegian border, known for its winter sports and cross-border rail connections.
  • B. Stordal
    Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
  • C. Kolstad
    Kolstad is a surname most notably associated with Derek Kolstad, the American screenwriter and creator of the John Wick film franchise.
  • D. Støren
    Støren is a village in Trøndelag county, Norway, serving as a local commercial and transportation hub in the Gauldalen valley.
  • E. Blakstad
    Blakstad is a village in Agder county, Norway, known as the main local hub for services and administration in the surrounding Froland area.
  • 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: Stovner
Triple: [Vestli, locatedIn, Stovner]
Generated description
Stovner is a residential borough in the northeastern part of Oslo, Norway, known for its diverse population and large housing estates.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stovner
Target entity description: Stovner is a residential borough in the northeastern part of Oslo, Norway, known for its diverse population and large housing estates.
  • A. Storlien
    Storlien is a village and ski resort in central Sweden near the Norwegian border, known for its winter sports and cross-border rail connections.
  • B. Stordal
    Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
  • C. Kolstad
    Kolstad is a surname most notably associated with Derek Kolstad, the American screenwriter and creator of the John Wick film franchise.
  • D. Støren
    Støren is a village in Trøndelag county, Norway, serving as a local commercial and transportation hub in the Gauldalen valley.
  • E. Blakstad
    Blakstad is a village in Agder county, Norway, known as the main local hub for services and administration in the surrounding Froland area.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0647b69f08190bb085f9b700f6453 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e44c11f48190a8c3c36172cd8da0 completed March 27, 2026, 1:58 a.m.
NEDg Description generation batch_69c5edd0f9348190a17d00f402e2cdad completed March 27, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69c5ee31ea6881908e30911ccf447400 completed March 27, 2026, 2:40 a.m.
Created at: March 22, 2026, 4:28 p.m.