Triple

T16680368
Position Surface form Disambiguated ID Type / Status
Subject Eldoret E405321 entity
Predicate hasEthnicCommunities P1898 FINISHED
Object Kikuyu E53602 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: Kikuyu | Statement: [Eldoret, hasEthnicCommunities, Kikuyu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kikuyu
Context triple: [Eldoret, hasEthnicCommunities, Kikuyu]
  • A. Kikuyu chosen
    Kikuyu is a major Bantu language spoken primarily by the Kikuyu people of central Kenya.
  • B. Kikuyu
    Kikuyu is a town in Kenya’s Nairobi Metropolitan Region, known as a fast-growing residential and commercial center west of Nairobi.
  • C. Coolabah
    Coolabah is a small rural town in western New South Wales, Australia, known for its remote outback setting and role as a service stop along regional transport routes.
  • D. Tarraganda
    Tarraganda is a small rural locality situated within the Bega Valley region of New South Wales, Australia, known for its agricultural landscape and proximity to the town of Bega.
  • E. Wangurri
    Wangurri is a Yolŋu Aboriginal Australian language variety spoken by the Wangurri people of northeast Arnhem Land in the Northern Territory.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6e74ec81909ea95c3e4b0113ab completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3e2ddc8190a59108cdf001dac2 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.