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.