Triple

T14626954
Position Surface form Disambiguated ID Type / Status
Subject Keiyo E343373 entity
Predicate spokenIn P2266 FINISHED
Object Rift Valley region E262861 NE FINISHED

How this triple was built (2 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: Rift Valley region | Statement: [Keiyo, spokenIn, Rift Valley region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rift Valley region
Context triple: [Keiyo, spokenIn, Rift Valley region]
  • A. Rift Valley region chosen
    The Rift Valley region is a vast geographical area in East Africa characterized by its dramatic escarpments, lakes, and savannahs, and is home to communities such as the Maasai.
  • B. Rift Valley Province
    Rift Valley Province was a former administrative region in western Kenya encompassing part of the Great Rift Valley and several major lakes and towns.
  • C. Laikipia Plateau
    The Laikipia Plateau is a highland region in central Kenya known for its expansive savannahs, wildlife conservancies, and views of Mount Kenya.
  • D. Western Region, Kenya
    Western Region, Kenya is an administrative area in western Kenya known for its fertile agricultural land, diverse Luhya communities, and proximity to the Ugandan border.
  • E. Tsavo region
    The Tsavo region is a vast area of southeastern Kenya known for its rugged volcanic landscapes, including extensive lava flows, and its famous wildlife-rich national parks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46a4a9081908472b0a542028a7f completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92c25ac8190ba931c009e7ace19 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:26 a.m.