Triple

T21199193
Position Surface form Disambiguated ID Type / Status
Subject Kilifi County E522405 entity
Predicate borders P224 FINISHED
Object Taita-Taveta County NE NERFINISHED

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 County | Statement: [Kilifi County, borders, Taita-Taveta County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taita-Taveta County
Context triple: [Kilifi County, borders, Taita-Taveta County]
  • A. Taita-Taveta County chosen
    Taita-Taveta County is a county in southeastern Kenya known for its wildlife-rich national parks, including Tsavo East and Tsavo West, and its location near the Tanzanian border.
  • B. Kajiado County
    Kajiado County is a largely semi-arid county in southern Kenya known for its Maasai communities, wildlife conservancies, and proximity to Nairobi and the Tanzania border.
  • C. Nyandarua County
    Nyandarua County is an administrative region in central Kenya known for its highland agriculture and proximity to the Aberdare Range.
  • D. Laikipia County
    Laikipia County is a region in central Kenya known for its wildlife conservancies, ranches, and growing tourism and agricultural sectors.
  • E. Tharaka-Nithi County
    Tharaka-Nithi County is a county in Kenya’s former Eastern Province, known for its proximity to Mount Kenya and its mix of highland agriculture and scenic landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7342fe3a08190b7ed2cadf60091a8 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:17 p.m.