Triple

T11229235
Position Surface form Disambiguated ID Type / Status
Subject Nyando District E265777 entity
Predicate borderedBy P224 FINISHED
Object Kericho District E263453 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: Kericho District | Statement: [Nyando District, borderedBy, Kericho District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kericho District
Context triple: [Nyando District, borderedBy, Kericho District]
  • A. Kericho District chosen
    Kericho District was a former administrative district in Kenya’s Rift Valley Province, known primarily for its extensive tea plantations and cool highland climate.
  • B. Kisii District
    Kisii District was a former administrative district in southwestern Kenya, inhabited mainly by the Kisii (Abagusii) people and centered around the town of Kisii.
  • C. Baringo County
    Baringo County is a largely rural county in Kenya’s Rift Valley region, known for its lakes, diverse ethnic communities, and semi-arid landscapes.
  • D. Elgeyo-Marakwet County
    Elgeyo-Marakwet County is a county in Kenya’s Rift Valley region known for its highland escarpments, athletic talent, and diverse communities including the Tugen people.
  • E. Bomet District
    Bomet District was a former administrative district in Kenya’s Rift Valley Province, known for its agricultural activities and later reorganization into Bomet County.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e900fbcc8190a3177f8a73564433 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc4c630c8190a5e43c2108dfb50d completed April 19, 2026, 12:36 p.m.
Created at: April 8, 2026, 9:30 p.m.