Triple

T10428283
Position Surface form Disambiguated ID Type / Status
Subject Hurum E245841 entity
Predicate hasVillage P4011 FINISHED
Object Holmsbu
Holmsbu is a small coastal village in Norway known for its picturesque harbor, wooden houses, and role as an artists’ retreat.
 E862678 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: Holmsbu | Statement: [Hurum, hasVillage, Holmsbu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Holmsbu
Context triple: [Hurum, hasVillage, Holmsbu]
  • A. Bergvik
    Bergvik is a small locality in central Sweden situated within Söderhamn Municipality in Gävleborg County.
  • B. Homansbyen
    Homansbyen is a central residential neighborhood in Oslo, Norway, known for its 19th-century architecture and proximity to major commercial and cultural areas like Majorstuen.
  • C. Brynseng
    Brynseng is a neighborhood and transport hub in Oslo, Norway, served by the Oslo Metro and other public transit connections.
  • D. Ulsteinvik
    Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
  • E. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • 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: Holmsbu
Triple: [Hurum, hasVillage, Holmsbu]
Generated description
Holmsbu is a small coastal village in Norway known for its picturesque harbor, wooden houses, and role as an artists’ retreat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Holmsbu
Target entity description: Holmsbu is a small coastal village in Norway known for its picturesque harbor, wooden houses, and role as an artists’ retreat.
  • A. Bergvik
    Bergvik is a small locality in central Sweden situated within Söderhamn Municipality in Gävleborg County.
  • B. Homansbyen
    Homansbyen is a central residential neighborhood in Oslo, Norway, known for its 19th-century architecture and proximity to major commercial and cultural areas like Majorstuen.
  • C. Brynseng
    Brynseng is a neighborhood and transport hub in Oslo, Norway, served by the Oslo Metro and other public transit connections.
  • D. Ulsteinvik
    Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
  • E. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • 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_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_69d7fc2b50b48190b1d5b29d19a240c2 completed April 9, 2026, 7:21 p.m.
NEDg Description generation batch_69d822d76f3481909f7c04be19414b14 completed April 9, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d85a00e7f48190bf87ce9d04acc750 completed April 10, 2026, 2:01 a.m.
Created at: April 6, 2026, 12:13 p.m.