Triple

T12663672
Position Surface form Disambiguated ID Type / Status
Subject Dombås E302488 entity
Predicate near P350 FINISHED
Object Dovrefjell E340054 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: Dovrefjell | Statement: [Dombås, near, Dovrefjell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dovrefjell
Context triple: [Dombås, near, Dovrefjell]
  • A. Dovrefjell chosen
    Dovrefjell is a prominent mountainous region in central Norway known for its rugged peaks, national park, and rich wildlife including wild reindeer and musk oxen.
  • B. Rondane
    Rondane is a mountainous national park in central Norway known for its high peaks, alpine plateaus, and rich wildlife, including wild reindeer.
  • C. Lyngen Alps
    The Lyngen Alps are a dramatic mountain range in northern Norway known for their sharp peaks, deep fjords, and popularity for skiing, mountaineering, and viewing the Northern Lights.
  • D. Kvitfjell
    Kvitfjell is a Norwegian alpine ski resort renowned for hosting major international competitions, including Olympic and World Cup events.
  • E. Jotunheimen
    Jotunheimen is a mountainous region in Norway renowned for its high peaks, glaciers, and popular hiking and climbing routes, including the country’s tallest mountains.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617c5b888190b37d4ede139bb49e completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688a19148190b8d252d3706d2b05 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:19 p.m.