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.