Triple

T6869333
Position Surface form Disambiguated ID Type / Status
Subject Øvre Eiker E158498 entity
Predicate hasSettlement P1068 FINISHED
Object Vestfossen
Vestfossen is a village in Buskerud, Norway, known for its industrial heritage and contemporary art scene, including the Vestfossen Kunstlaboratorium.
E625351 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: Vestfossen | Statement: [Øvre Eiker, hasSettlement, Vestfossen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vestfossen
Context triple: [Øvre Eiker, hasSettlement, Vestfossen]
  • A. Ulefoss
    Ulefoss is a village in Telemark, Norway, known for its historic ironworks industry and scenic location by the Telemark Canal.
  • B. Vøringsfossen
    Vøringsfossen is one of Norway’s most famous and dramatic waterfalls, plunging into the Måbødalen valley in the Hardanger region.
  • C. Finnsnes
    Finnsnes is a small coastal town in northern Norway that serves as a commercial and transport hub for the island municipality of Senja.
  • D. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • E. Bekkestua
    Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
  • 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: Vestfossen
Triple: [Øvre Eiker, hasSettlement, Vestfossen]
Generated description
Vestfossen is a village in Buskerud, Norway, known for its industrial heritage and contemporary art scene, including the Vestfossen Kunstlaboratorium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vestfossen
Target entity description: Vestfossen is a village in Buskerud, Norway, known for its industrial heritage and contemporary art scene, including the Vestfossen Kunstlaboratorium.
  • A. Ulefoss
    Ulefoss is a village in Telemark, Norway, known for its historic ironworks industry and scenic location by the Telemark Canal.
  • B. Vøringsfossen
    Vøringsfossen is one of Norway’s most famous and dramatic waterfalls, plunging into the Måbødalen valley in the Hardanger region.
  • C. Finnsnes
    Finnsnes is a small coastal town in northern Norway that serves as a commercial and transport hub for the island municipality of Senja.
  • D. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • E. Bekkestua
    Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8a916a88190b81551731dff2898 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74299ae148190a56c7b1ee8829f40 completed March 28, 2026, 2:53 a.m.
NEDg Description generation batch_69c743a639f88190a0758194433322bf completed March 28, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_69c7445fbd488190938ec3dd59cbeb2c completed March 28, 2026, 3 a.m.
Created at: March 27, 2026, 2:22 p.m.