Triple

T13853318
Position Surface form Disambiguated ID Type / Status
Subject Rondane National Park E332998 entity
Predicate mountainRange P648 FINISHED
Object Rondane E96297 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: Rondane | Statement: [Rondane National Park, mountainRange, Rondane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rondane
Context triple: [Rondane National Park, mountainRange, Rondane]
  • A. Rondane chosen
    Rondane is a mountainous national park in central Norway known for its high peaks, alpine plateaus, and rich wildlife, including wild reindeer.
  • B. Dovrefjell
    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.
  • C. Skogsvåg
    Skogsvåg is a small coastal village in western Norway, located on the island of Sotra in Vestland county.
  • D. Filefjell
    Filefjell is a mountainous area and historic mountain pass in southern Norway, known as an important route between Eastern and Western Norway and a popular destination for hiking and winter sports.
  • E. Kvitfjell
    Kvitfjell is a Norwegian alpine ski resort renowned for hosting major international competitions, including Olympic and World Cup events.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02da9460819093a3ec5a3c62ea81 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c70a59e8819090b750699993a107 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:14 p.m.