Triple

T15217048
Position Surface form Disambiguated ID Type / Status
Subject Jotunheimen National Park E363662 entity
Predicate contains P35 FINISHED
Object Spiterstulen E398069 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: Spiterstulen | Statement: [Jotunheimen National Park, contains, Spiterstulen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spiterstulen
Context triple: [Jotunheimen National Park, contains, Spiterstulen]
  • A. Spiterstulen chosen
    Spiterstulen is a mountain lodge in Norway’s Jotunheimen region that serves as a key base for hikers and climbers exploring nearby peaks.
  • 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. Stöllet
    Stöllet is a small locality in central Sweden situated within Torsby Municipality in Värmland County.
  • D. Störnstein
    Störnstein is a small municipality in the Upper Palatinate region of Bavaria, Germany.
  • E. Skarvehøi
    Skarvehøi is a mountain located in Lesja municipality in Innlandet county, Norway, known for its alpine terrain and scenic hiking opportunities.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076f90c481909989befe031a2cae completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3159fc81908c05cfbd0bd7e5ac completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:11 a.m.