Triple
T21665098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Malawi |
E534692
|
entity |
| Predicate | hasLandscapeFeature |
P1094
|
FINISHED |
| Object | Lake Malawi shoreline |
—
|
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 Malawi shoreline | Statement: [Southern Malawi, hasLandscapeFeature, Lake Malawi shoreline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Malawi shoreline Context triple: [Southern Malawi, hasLandscapeFeature, Lake Malawi shoreline]
-
A.
Lake Tanganyika shoreline
The Lake Tanganyika shoreline is the extensive coastal edge of one of Africa’s Great Lakes, known for its deep, clear waters, rich biodiversity, and importance to local fishing and transport.
-
B.
Lake Kariba shoreline
Lake Kariba shoreline is a scenic lakeside area known for its expansive water views, fishing, boating, and resort accommodations along the edge of Lake Kariba.
-
C.
Lake Malawi region
The Lake Malawi region is an area in southeastern Africa surrounding Lake Malawi, known for its diverse ecosystems, fishing communities, and cultural and linguistic ties to the Nyanja-speaking peoples.
-
D.
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.
-
E.
Polewali coast
Polewali coast is a coastal area in Indonesia’s West Sulawesi province known for its beaches, fishing communities, and seaside tourism within Polewali Mandar Regency.
- 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 Malawi shoreline Target entity description: The Lake Malawi shoreline is a scenic stretch of beaches, rocky coves, and lakeside villages along Lake Malawi, known for its clear waters, rich biodiversity, and importance to local fishing and tourism.
-
A.
Lake Tanganyika shoreline
The Lake Tanganyika shoreline is the extensive coastal edge of one of Africa’s Great Lakes, known for its deep, clear waters, rich biodiversity, and importance to local fishing and transport.
-
B.
Lake Kariba shoreline
Lake Kariba shoreline is a scenic lakeside area known for its expansive water views, fishing, boating, and resort accommodations along the edge of Lake Kariba.
-
C.
Lake Malawi region
chosen
The Lake Malawi region is an area in southeastern Africa surrounding Lake Malawi, known for its diverse ecosystems, fishing communities, and cultural and linguistic ties to the Nyanja-speaking peoples.
-
D.
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.
-
E.
Polewali coast
Polewali coast is a coastal area in Indonesia’s West Sulawesi province known for its beaches, fishing communities, and seaside tourism within Polewali Mandar Regency.
- F. None of above.
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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0b26c8819092c13e59dcc3c25c |
completed | April 27, 2026, 2 p.m. |
Created at: April 16, 2026, 6:36 p.m.