Triple

T17860974
Position Surface form Disambiguated ID Type / Status
Subject Besseggen E446069 entity
Predicate startPoint P389 FINISHED
Object Gjendesheim 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: Gjendesheim | Statement: [Besseggen, startPoint, Gjendesheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gjendesheim
Context triple: [Besseggen, startPoint, Gjendesheim]
  • A. Gjendesheim chosen
    Gjendesheim is a popular mountain lodge and tourist cabin in Norway’s Jotunheimen National Park, serving as a key starting point for hikes in the surrounding alpine area.
  • B. Polheim
    Polheim was the temporary base camp established by Roald Amundsen’s team at the geographic South Pole during their pioneering 1911 Antarctic expedition.
  • C. Ginnheim
    Ginnheim is a district in Frankfurt am Main, Germany, known for its residential character and public transport connections, including serving as a terminus for a major tram or metro line.
  • D. Obergoms
    Obergoms is a municipality in the canton of Valais in southwestern Switzerland, known for its high Alpine landscapes and traditional mountain villages.
  • E. Neuselhalden
    Neuselhalden is a locality or district that forms part of the municipality of Steinheim am Albuch in the German state of Baden-Württemberg.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4979013dc8190beb7718f0ba92bc3 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.