Triple

T17767921
Position Surface form Disambiguated ID Type / Status
Subject Sarpsfossen power station E443558 entity
Predicate usesWaterfall P42847 FINISHED
Object Sarpsfossen NE NERFINISHED

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: Sarpsfossen | Statement: [Sarpsfossen power station, usesWaterfall, Sarpsfossen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarpsfossen
Context triple: [Sarpsfossen power station, usesWaterfall, Sarpsfossen]
  • A. Sarpsfossen waterfall chosen
    Sarpsfossen waterfall is one of Europe's most powerful waterfalls, historically important for Norway's timber and hydropower industries and a notable natural attraction in the Sarpsborg area.
  • B. Harpefoss
    Harpefoss is a small village in Sør-Fron Municipality in Innlandet county, Norway, known for its scenic valley setting along the Gudbrandsdalslågen river.
  • C. Skogfoss
    Skogfoss is a small village in Sør-Varanger municipality in Troms og Finnmark county in far northeastern Norway, near the border with Russia.
  • D. Hellefoss
    Hellefoss is a hydroelectric dam and waterfall installation on the Drammenselva river in Norway.
  • 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 (2 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fd8aa081909c8ee9264af15c69 completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.