Triple

T17668263
Position Surface form Disambiguated ID Type / Status
Subject Besseggen ridge E440444 entity
Predicate separates P1175 FINISHED
Object Gjende 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: Gjende | Statement: [Besseggen ridge, separates, Gjende]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gjende
Context triple: [Besseggen ridge, separates, Gjende]
  • A. Gjende chosen
    Gjende is a long, narrow glacial lake in Norway’s Jotunheimen mountains, renowned for its striking turquoise-green water and popular hiking routes along its shores.
  • B. Giæver
    Giæver is a Norwegian surname borne by several notable figures in fields such as physics, literature, and public service.
  • C. Gjettum
    Gjettum is a residential area in the municipality of Bærum in Viken county, Norway, forming part of the greater Oslo suburban region.
  • D. Jondal
    Jondal is a small village and former municipality in Vestland county, Norway, known as a gateway to the Folgefonna glacier and surrounding fjord landscape.
  • E. Gjemnes
    Gjemnes is a rural municipality in western Norway known for its fjord landscapes and location between the towns of Molde and Kristiansund.
  • 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_69e46f6723d081908eaa57eef6d70bd0 completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 9:58 a.m.