Triple

T10922415
Position Surface form Disambiguated ID Type / Status
Subject Coast Province E257980 entity
Predicate majorCity P316 FINISHED
Object Taita Taveta E518661 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: Taita Taveta | Statement: [Coast Province, majorCity, Taita Taveta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taita Taveta
Context triple: [Coast Province, majorCity, Taita Taveta]
  • A. Taita Taveta chosen
    Taita Taveta is a county in southeastern Kenya known for its rich wildlife, including parts of Tsavo National Park, and its mix of highland and coastal landscapes.
  • B. Lake Nakuru
    Lake Nakuru is a shallow alkaline lake in Kenya’s Rift Valley, famed for its large populations of flamingos and diverse wildlife within Lake Nakuru National Park.
  • C. 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.
  • D. Kirinyaga
    Kirinyaga is the traditional name used by the Kikuyu people for Mount Kenya, reflecting its cultural and spiritual significance as the sacred mountain of brightness.
  • E. Nanyuki
    Nanyuki is a Kenyan town on the equator that serves as a popular gateway to Mount Kenya and the surrounding highland wilderness.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7708d1fb88190bb33b72d4330ce11 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2172894d88190b7b27f78e9fd1521 completed April 17, 2026, 11:19 a.m.
Created at: April 8, 2026, 9:22 p.m.