Triple

T10428281
Position Surface form Disambiguated ID Type / Status
Subject Hurum E245841 entity
Predicate hasVillage P4011 FINISHED
Object Sætre
Sætre is a coastal village in Asker municipality in Viken county, Norway, known for its 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, hasVillage, Sætre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sætre
Context triple: [Hurum, hasVillage, 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. Folldal
    Folldal is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes and historic mining heritage.
  • E. Toftir
    Toftir is a village on the island of Eysturoy in the Faroe Islands, known for its coastal setting and local football culture.
  • 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, hasVillage, Sætre]
Generated description
Sætre is a coastal village in Asker municipality in Viken county, Norway, known for its location along the Oslofjord.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sætre
Target entity description: Sætre is a coastal village in Asker municipality in Viken county, Norway, known for its 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. Folldal
    Folldal is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes and historic mining heritage.
  • E. Toftir
    Toftir is a village on the island of Eysturoy in the Faroe Islands, known for its coastal setting and local football culture.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4a7dcc81909a830e08656a1c0c completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87ea554888190bf2ef31e33c0ff14 completed April 10, 2026, 4:37 a.m.
NEDg Description generation batch_69d8837e70508190b03e8983b2617eac completed April 10, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_69d889cc40648190a1d80b955e676ea5 completed April 10, 2026, 5:25 a.m.
Created at: April 6, 2026, 12:13 p.m.