Triple

T14796320
Position Surface form Disambiguated ID Type / Status
Subject Oyugis E347786 entity
Predicate locatedIn P40 FINISHED
Object western Kenya E865563 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: western Kenya | Statement: [Oyugis, locatedIn, western Kenya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: western Kenya
Context triple: [Oyugis, locatedIn, western Kenya]
  • A. western Kenya chosen
    Western Kenya is a region of Kenya characterized by its highland landscapes, rich agricultural activity, and diverse ethnic communities, including the Nandi.
  • B. Western Region, Kenya
    Western Region, Kenya is an administrative area in western Kenya known for its fertile agricultural land, diverse Luhya communities, and proximity to the Ugandan border.
  • C. Northern Kenya
    Northern Kenya is a sparsely populated, arid region of Kenya known for its semi-desert landscapes, pastoralist communities, and significant archaeological and ecological sites.
  • D. Eastern Province of Kenya
    Eastern Province of Kenya was a former administrative region in eastern Kenya known for its diverse ethnic communities, semi-arid landscapes, and agriculture-based economy.
  • E. Central Province, Kenya
    Central Province, Kenya was a former administrative region in central Kenya known for its fertile highlands, tea and coffee production, and predominantly Kikuyu population.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd5fdd548190a2ee5e668c2b20b4 completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c0beb0819081a124479a849bb6 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.