Triple

T33777834

Position	Surface form	Disambiguated ID	Type / Status
Subject	Bomet County	`E865568`	entity
Predicate	hasSubCounty	`P747`	FINISHED
Object	Bomet East Bomet East is an electoral and administrative sub-county located within Kenya’s Bomet County in the Rift Valley region.	`E2067536`	NE FINISHED

How this triple was built (3 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: Bomet East | Statement: [Bomet County, hasSubCounty, Bomet East]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Bomet East
Triple: [Bomet County, hasSubCounty, Bomet East]

Generated description

Bomet East is an electoral and administrative sub-county located within Kenya’s Bomet County in the Rift Valley region.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasSubCounty
Context triple: [Bomet County, hasSubCounty, Bomet East]

A. hasSubdivision chosen
Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
B. hasNumberOfSubdistricts
Indicates the relationship specifying how many subdistricts are associated with a given entity.
C. isInCountySubdivision
Indicates that one entity (typically a place or address) is located within the boundaries of a specific county subdivision.
D. hasSuburbanMunicipality
Indicates that one administrative region includes or is associated with a municipality located in a suburban area.
E. hasSubdivisionCode
Indicates that an entity is associated with a specific code identifying one of its internal subdivisions (such as a state, province, or region).
F. None of above.

Provenance (6 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_69f3498df6f88190bf9647ea4e4a956e`	completed	April 30, 2026, 12:22 p.m.
NER	Named-entity recognition	`batch_69ff691f5ae481908597ce245188d31c`	completed	May 9, 2026, 5:04 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a366587d078819097947525526dce13`	completed	June 20, 2026, 10:03 a.m.
NEDg	Description generation	`batch_6a36663e473c81908cb06cf9eb79cfc0`	completed	June 20, 2026, 10:06 a.m.
NED2	Entity disambiguation (via description)	`batch_6a3666ebe7ec8190a279f7eb183cf157`	completed	June 20, 2026, 10:09 a.m.
PD	Predicate disambiguation	`batch_69ff67ceeeb081909fd00cad166c4b6a`	completed	May 9, 2026, 4:58 p.m.

Created at: May 1, 2026, 1:45 a.m.