Triple

T15663970
Position Surface form Disambiguated ID Type / Status
Subject Eidfjord E376637 entity
Predicate hasAttraction P105 FINISHED
Object Vøringsfossen waterfall E1133046 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: Vøringsfossen waterfall | Statement: [Eidfjord, hasAttraction, Vøringsfossen waterfall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vøringsfossen waterfall
Context triple: [Eidfjord, hasAttraction, Vøringsfossen waterfall]
  • A. Vøringsfossen waterfall chosen
    Vøringsfossen waterfall is one of Norway’s most famous and dramatic waterfalls, plunging into the Måbødalen valley in the Hardanger region.
  • B. Fossekallen waterfall
    Fossekallen waterfall is a scenic cascade along the Lysakerelva river near Oslo, Norway, known for its natural beauty and accessible hiking paths.
  • C. Imofossen waterfall
    Imofossen waterfall is a scenic cascade in northern Norway known for its dramatic drop within the rugged landscapes of Reisa National Park.
  • D. Steinsdalsfossen waterfall
    Steinsdalsfossen waterfall is a famous Norwegian waterfall near Norheimsund known for its unique footpath that allows visitors to walk safely behind the cascading water.
  • E. Månafossen waterfall
    Månafossen waterfall is a dramatic, high free-falling waterfall in Rogaland, Norway, known for its scenic hiking access and rugged natural surroundings.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0f4df08190ad2c5d78e435d8eb completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679ff4648190a2f05d6445fa59df completed May 9, 2026, 4:58 p.m.
Created at: April 10, 2026, 4:16 a.m.