Triple

T12986527
Position Surface form Disambiguated ID Type / Status
Subject Thika River E321781 entity
Predicate locatedIn P40 FINISHED
Object Central Kenya E191379 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: Central Kenya | Statement: [Thika River, locatedIn, Central Kenya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Kenya
Context triple: [Thika River, locatedIn, Central Kenya]
  • A. 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.
  • B. 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.
  • C. western Kenya
    Western Kenya is a region of Kenya characterized by its highland landscapes, rich agricultural activity, and diverse ethnic communities, including the Nandi.
  • D. 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.
  • E. Central Province, Kenya chosen
    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_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_69f6b8f6245c8190867417c3ef1852e5 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:40 p.m.