Triple

T10486175
Position Surface form Disambiguated ID Type / Status
Subject Mbagathi River E247302 entity
Predicate flowsThrough P225 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: [Mbagathi River, flowsThrough, Kajiado County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kajiado County
Context triple: [Mbagathi River, flowsThrough, 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5096988ec81908d7518b09256c145 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69de22087d008190a9db6080b8c10f5d completed April 14, 2026, 11:16 a.m.
Created at: April 6, 2026, 12:23 p.m.