Triple

T14170058
Position Surface form Disambiguated ID Type / Status
Subject Meru people E351181 entity
Predicate region P40 FINISHED
Object Meru County E1038480 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: Meru County | Statement: [Meru people, region, Meru County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meru County
Context triple: [Meru people, region, Meru County]
  • A. Meru County chosen
    Meru County is an administrative region in eastern Kenya known for its fertile highlands, agricultural production, and proximity to Mount Kenya.
  • B. Murang’a County
    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.
  • C. 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.
  • 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. 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b472288190b4a271daa54aa6cd completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd2804956c81909409fba998a87866 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:01 a.m.