Triple

T12986529
Position Surface form Disambiguated ID Type / Status
Subject Thika River E321781 entity
Predicate locatedIn P40 FINISHED
Object Murang’a County E784629 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: Murang’a County | Statement: [Thika River, locatedIn, Murang’a County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murang’a County
Context triple: [Thika River, locatedIn, Murang’a County]
  • A. Murang’a County chosen
    Murang’a County is an agricultural county in Kenya’s central region, known historically as part of the Kikuyu heartland and for its tea and coffee farming.
  • B. Makueni County
    Makueni County is a semi-arid administrative region in southeastern Kenya known for its agriculture, water-scarcity challenges, and location along key transport and river basins.
  • C. 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.
  • D. Nandi County
    Nandi County is a highland county in Kenya’s Rift Valley region, known as a stronghold of the Kalenjin community and for producing many of the country’s elite long-distance runners.
  • E. Kisii County
    Kisii County is an administrative county in southwestern Kenya known for its fertile highlands, intensive agriculture, and vibrant Kisii (Abagusii) community.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5f47ec8190b39107bc016f9824 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbc277c881909ae77e8a44e06986 completed May 3, 2026, 4:14 a.m.
Created at: April 9, 2026, 8:40 p.m.