Triple

T10021209
Position Surface form Disambiguated ID Type / Status
Subject Kitengela dispersal area E200612 entity
Predicate locatedIn P40 FINISHED
Object Kajiado County E374024 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: Kajiado County | Statement: [Kitengela dispersal area, locatedIn, Kajiado County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kajiado County
Context triple: [Kitengela dispersal area, locatedIn, Kajiado County]
  • A. Kajiado County chosen
    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.
  • B. Nyandarua County
    Nyandarua County is an administrative region in central Kenya known for its highland agriculture and proximity to the Aberdare Range.
  • C. Kisii County
    Kisii County is an administrative county in southwestern Kenya known for its fertile highlands, intensive agriculture, and vibrant Kisii (Abagusii) community.
  • D. Kirinyaga County
    Kirinyaga County is an administrative region in central Kenya known for its fertile agricultural land on the slopes of Mount Kenya and its production of tea, coffee, and horticultural crops.
  • E. Uasin Gishu County
    Uasin Gishu County is an agriculturally rich county in Kenya’s Rift Valley region, with Eldoret as its main urban and economic center.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd79485881909df562bfff36ccf4 completed April 2, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b60256b48190829cfdbff0105cc0 completed April 5, 2026, 7:20 p.m.
Created at: March 30, 2026, 8:53 p.m.