Triple

T17657852
Position Surface form Disambiguated ID Type / Status
Subject Hurum E440171 entity
Predicate capital P234 FINISHED
Object Sætre
Sætre is a village in Asker Municipality in Viken county, Norway, known for its coastal location along the Oslofjord.
 E862674 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: Sætre | Statement: [Hurum, capital, Sætre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sætre
Context triple: [Hurum, capital, Sætre]
  • A. Sætre
    Sætre is a village in Asker Municipality in Viken county, Norway, known for its coastal location along the Oslofjord.
  • B. Sæbraut
    Sæbraut is a coastal road in Reykjavík, Iceland, known for its scenic waterfront views and public artworks along the shoreline.
  • C. Blæstad
    Blæstad is a campus location of Inland Norway University of Applied Sciences, known for its focus on agricultural and environmental studies.
  • D. Stöllet
    Stöllet is a small locality in central Sweden situated within Torsby Municipality in Värmland County.
  • E. Reinsvoll
    Reinsvoll is a village in Innlandet county, Norway, known as a local settlement within Vestre Toten municipality.
  • 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: Sætre
Triple: [Hurum, capital, Sætre]
Generated description
Sætre is a village in Asker Municipality in Viken county, Norway, known for its coastal location along the Oslofjord.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sætre
Target entity description: Sætre is a village in Asker Municipality in Viken county, Norway, known for its coastal location along the Oslofjord.
  • A. Sætre chosen
    Sætre is a village in Asker Municipality in Viken county, Norway, known for its coastal location along the Oslofjord.
  • B. Sæbraut
    Sæbraut is a coastal road in Reykjavík, Iceland, known for its scenic waterfront views and public artworks along the shoreline.
  • C. Blæstad
    Blæstad is a campus location of Inland Norway University of Applied Sciences, known for its focus on agricultural and environmental studies.
  • D. Stöllet
    Stöllet is a small locality in central Sweden situated within Torsby Municipality in Värmland County.
  • E. Reinsvoll
    Reinsvoll is a village in Innlandet county, Norway, known as a local settlement within Vestre Toten municipality.
  • F. None of above.

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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea3b4cc81908eec7032cf221d49 completed April 19, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0216584eb88190afa898efae284934 completed May 11, 2026, 5:48 p.m.
NEDg Description generation batch_6a0218a828548190b492e721e546f224 completed May 11, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_6a02193505ec8190800570487768cf07 completed May 11, 2026, 6 p.m.
Created at: April 10, 2026, 9:28 a.m.