Triple

T17657980
Position Surface form Disambiguated ID Type / Status
Subject Gjende E440173 entity
Predicate partOf P40 FINISHED
Object Norwegian inland lake system NE NERFINISHED

How this triple was built (3 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: Norwegian inland lake system | Statement: [Gjende, partOf, Norwegian inland lake system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norwegian inland lake system
Context triple: [Gjende, partOf, Norwegian inland lake system]
  • A. Aydar-Arnasay system of lakes
    The Aydar-Arnasay system of lakes is a large chain of artificial and natural water bodies in central Uzbekistan, formed mainly by Syr Darya overflow and used for irrigation, fisheries, and regional water regulation.
  • B. Stockholm County lake system
    The Stockholm County lake system is a network of interconnected lakes in and around Sweden’s capital region, important for local ecology, recreation, and water management.
  • C. Swiss Plateau lake system
    The Swiss Plateau lake system is a network of mid-altitude lakes in central Switzerland formed by glacial and fluvial processes, including well-known bodies such as Lake Zug, that play key ecological, hydrological, and recreational roles in the region.
  • D. Mjøsa Lake
    Mjøsa Lake is Norway’s largest lake, located in the southeastern part of the country and known for its scenic surroundings and historic towns along its shores.
  • E. Alberta lake system
    The Alberta lake system is a network of interconnected lakes and associated waterways in the province of Alberta, Canada, that supports diverse ecosystems, recreation, and regional water management.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Norwegian inland lake system
Target entity description: The Norwegian inland lake system is a vast network of freshwater lakes spread across Norway’s interior, known for its glacially carved basins, clear waters, and importance to the country’s ecosystems, hydropower, and outdoor recreation.
  • A. Aydar-Arnasay system of lakes
    The Aydar-Arnasay system of lakes is a large chain of artificial and natural water bodies in central Uzbekistan, formed mainly by Syr Darya overflow and used for irrigation, fisheries, and regional water regulation.
  • B. Stockholm County lake system
    The Stockholm County lake system is a network of interconnected lakes in and around Sweden’s capital region, important for local ecology, recreation, and water management.
  • C. Swiss Plateau lake system
    The Swiss Plateau lake system is a network of mid-altitude lakes in central Switzerland formed by glacial and fluvial processes, including well-known bodies such as Lake Zug, that play key ecological, hydrological, and recreational roles in the region.
  • D. Mjøsa Lake
    Mjøsa Lake is Norway’s largest lake, located in the southeastern part of the country and known for its scenic surroundings and historic towns along its shores.
  • E. Alberta lake system
    The Alberta lake system is a network of interconnected lakes and associated waterways in the province of Alberta, Canada, that supports diverse ecosystems, recreation, and regional water management.
  • F. None of above. chosen

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, 9:28 a.m.