Triple

T37436198
Position Surface form Disambiguated ID Type / Status
Subject Marakwet people E930275 entity
Predicate hasSubcountyNamedAfter P21562 FINISHED
Object Marakwet East
Marakwet East is an administrative sub-county in Kenya named for and largely inhabited by the Marakwet people.
 E2227254 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: Marakwet East | Statement: [Marakwet people, hasSubcountyNamedAfter, Marakwet 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: Marakwet East
Triple: [Marakwet people, hasSubcountyNamedAfter, Marakwet East]
Generated description
Marakwet East is an administrative sub-county in Kenya named for and largely inhabited by the Marakwet people.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasSubcountyNamedAfter
Context triple: [Marakwet people, hasSubcountyNamedAfter, Marakwet East]
  • A. isNamedCountyOf
    Indicates that a county bears a specific official name within a given jurisdiction or context.
  • B. hasCountyNamedAfterHim
    Indicates that a person has at least one county named in their honor.
  • C. hasCountySeatOfParentCounty
    Indicates that a location serves as the county seat (administrative center) for the county that is the parent of another referenced entity.
  • D. hasPlaceNamedAfter chosen
    Indicates that one place is named in honor of or derived from the name of another place.
  • E. hasCountySeatOf
    Indicates that a place serves as the administrative county seat (capital) of a specified county.
  • 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_69f76ebfdcb8819098562ff3db673b04 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a004b6ad4248190b402a0d01b0ebf83 completed May 10, 2026, 9:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a40825702f4819091244669a2a98c55 completed June 28, 2026, 2:09 a.m.
NEDg Description generation batch_6a4083d4e4488190bb8dbb8814365aeb completed June 28, 2026, 2:15 a.m.
NED2 Entity disambiguation (via description) batch_6a40845a16388190b73252a9bce66c34 completed June 28, 2026, 2:18 a.m.
PD Predicate disambiguation batch_6a004ae736b881908a0efed8f63f982e completed May 10, 2026, 9:07 a.m.
Created at: May 3, 2026, 4:17 p.m.