Triple

T10852519
Position Surface form Disambiguated ID Type / Status
Subject Solbergfoss power station E256182 entity
Predicate hasPart P35 FINISHED
Object Solbergfoss I E888866 NE FINISHED

How this triple was built (2 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: Solbergfoss I | Statement: [Solbergfoss power station, hasPart, Solbergfoss I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solbergfoss I
Context triple: [Solbergfoss power station, hasPart, Solbergfoss I]
  • A. Solbergfoss, Norway chosen
    Solbergfoss, Norway is a locality along the Glomma River known primarily for hosting the historic Solbergfoss hydroelectric power station.
  • B. Vestfossen
    Vestfossen is a village in Buskerud, Norway, known for its industrial heritage and contemporary art scene, including the Vestfossen Kunstlaboratorium.
  • C. Granfossen
    Granfossen is a notable waterfall along the Lysakerelva river near Oslo, Norway, known for its scenic cascades in a wooded valley setting.
  • D. Bøylefoss
    Bøylefoss is a small settlement in the municipality of Froland in southern Norway, known historically for its waterfall and associated hydroelectric power development.
  • E. Ulefoss
    Ulefoss is a village in Telemark, Norway, known for its historic ironworks industry and scenic location by the Telemark Canal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75134299481909459fd87917261a7 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7cc0d648190afb0ce80bac7f3dc completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:20 p.m.