Triple
T17515449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorze |
E426555
|
entity |
| Predicate | hasSourceRegion |
P410
|
FINISHED |
| Object | Lake Zug region |
—
|
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: Lake Zug region | Statement: [Lorze, hasSourceRegion, Lake Zug region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Zug region Context triple: [Lorze, hasSourceRegion, Lake Zug region]
-
A.
Lake Albert region
The Lake Albert region is an area in western Uganda and eastern Democratic Republic of the Congo centered around Lake Albert, known for its rich biodiversity, fishing communities, and emerging oil resources.
-
B.
Lake Eyasi region
The Lake Eyasi region is an area in northern Tanzania known as the traditional homeland of the Hadza people, one of the last remaining hunter-gatherer communities in Africa.
-
C.
Lake Tanganyika region
The Lake Tanganyika region is an area in central Africa surrounding Lake Tanganyika, known for its rich biodiversity, fishing and transport activities, and its role as a key corridor for trade and travel between inland areas and the Great Lakes.
-
D.
Amboseli Basin
Amboseli Basin is a broad, low-lying depression in southern Kenya known for its seasonal wetlands and salt pans that attract large concentrations of wildlife within the Amboseli ecosystem.
-
E.
Lake Victoria zone
The Lake Victoria zone is an administrative and geographical area in northern Tanzania encompassing regions around Lake Victoria, including Geita.
- 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: Lake Zug region Target entity description: The Lake Zug region is a scenic area in central Switzerland known for its namesake lake, surrounding hills, and picturesque towns such as Zug and Cham.
-
A.
Lake Albert region
The Lake Albert region is an area in western Uganda and eastern Democratic Republic of the Congo centered around Lake Albert, known for its rich biodiversity, fishing communities, and emerging oil resources.
-
B.
Lake Eyasi region
The Lake Eyasi region is an area in northern Tanzania known as the traditional homeland of the Hadza people, one of the last remaining hunter-gatherer communities in Africa.
-
C.
Lake Tanganyika region
The Lake Tanganyika region is an area in central Africa surrounding Lake Tanganyika, known for its rich biodiversity, fishing and transport activities, and its role as a key corridor for trade and travel between inland areas and the Great Lakes.
-
D.
Amboseli Basin
Amboseli Basin is a broad, low-lying depression in southern Kenya known for its seasonal wetlands and salt pans that attract large concentrations of wildlife within the Amboseli ecosystem.
-
E.
Lake Victoria zone
The Lake Victoria zone is an administrative and geographical area in northern Tanzania encompassing regions around Lake Victoria, including Geita.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525fa0c48190b42b36c40db7ed7f |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:49 a.m.