Triple

T20669263
Position Surface form Disambiguated ID Type / Status
Subject Dagfinn Høybråten E507975 entity
Predicate familyName P18 FINISHED
Object Høybråten
Høybråten is a Norwegian surname most notably associated with politician Dagfinn Høybråten.
E1454507 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: Høybråten | Statement: [Dagfinn Høybråten, familyName, Høybråten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Høybråten
Context triple: [Dagfinn Høybråten, familyName, Høybråten]
  • A. Vålebru
    Vålebru is a village in Innlandet county, Norway, serving as the main local hub for services and administration in Ringebu municipality.
  • B. Brårud
    Brårud is a small village located within the municipality of Nes in Akershus county, Norway.
  • C. Mortensrud
    Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
  • D. Høybakken
    Høybakken is a small coastal village in Trøndelag county, Norway, situated within the municipality of Ørland.
  • E. Steinråa
    Steinråa is a small settlement located in Nannestad municipality in Viken county, Norway.
  • 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: Høybråten
Triple: [Dagfinn Høybråten, familyName, Høybråten]
Generated description
Høybråten is a Norwegian surname most notably associated with politician Dagfinn Høybråten.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Høybråten
Target entity description: Høybråten is a Norwegian surname most notably associated with politician Dagfinn Høybråten.
  • A. Vålebru
    Vålebru is a village in Innlandet county, Norway, serving as the main local hub for services and administration in Ringebu municipality.
  • B. Brårud
    Brårud is a small village located within the municipality of Nes in Akershus county, Norway.
  • C. Mortensrud
    Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
  • D. Høybakken
    Høybakken is a small coastal village in Trøndelag county, Norway, situated within the municipality of Ørland.
  • E. Steinråa
    Steinråa is a small settlement located in Nannestad municipality in Viken county, Norway.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c60a2481908ae3764bc12454e0 completed April 20, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a090aeae39881909a35767b9b57eab4 completed May 17, 2026, 12:25 a.m.
NEDg Description generation batch_6a090fb735cc8190a1dfea82584b7675 completed May 17, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a091010ef9c8190862283f739b7027b completed May 17, 2026, 12:47 a.m.
Created at: April 16, 2026, 11:44 a.m.