Triple

T18113289
Position Surface form Disambiguated ID Type / Status
Subject Vang E433534 entity
Predicate containsSettlement P847 FINISHED
Object Ryfoss 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: Ryfoss | Statement: [Vang, containsSettlement, Ryfoss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryfoss
Context triple: [Vang, containsSettlement, Ryfoss]
  • A. Ryfoss chosen
    Ryfoss is a small village in Vang Municipality in Innlandet county, Norway, situated in the Valdres region.
  • B. Rognon
    Rognon is a river in northeastern France that flows through the Haute-Marne department and serves as a tributary within the Marne river basin.
  • C. Rasdal
    Rasdal is a Norwegian surname associated with former professional footballer Alf-Inge Haaland.
  • D. Frierfjord
    Frierfjord is a fjord in Telemark, Norway, known for its industrial shoreline and role as part of the coastal waterway near the Grenland region.
  • E. Urstein
    Urstein is a locality in the municipality of Puch bei Hallein in the Austrian state of Salzburg, known for hosting the Salzburg University of Applied Sciences campus.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3fd9c81909bfe95927f7553e3 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.