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.