Triple

T17658057
Position Surface form Disambiguated ID Type / Status
Subject Hurrungane E440175 entity
Predicate contains P35 FINISHED
Object Styggedalsryggen 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: Styggedalsryggen | Statement: [Hurrungane, contains, Styggedalsryggen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Styggedalsryggen
Context triple: [Hurrungane, contains, Styggedalsryggen]
  • A. Skagastølsryggen chosen
    Skagastølsryggen is a prominent high alpine ridge in the Hurrungane range of Norway, known for its sharp peaks and challenging mountaineering routes.
  • B. Stetind
    Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
  • C. Myrstuguberget
    Myrstuguberget is a residential locality situated within Botkyrka Municipality in Stockholm County, Sweden.
  • D. Skogsvåg
    Skogsvåg is a small coastal village in western Norway, located on the island of Sotra in Vestland county.
  • E. Skaaren
    Skaaren is a surname most notably associated with Warren Skaaren, an American screenwriter and film producer.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea3b4cc81908eec7032cf221d49 completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:33 a.m.