Triple

T29327992
Position Surface form Disambiguated ID Type / Status
Subject Vice-President of Kenya E743703 entity
Predicate includedInDocument P200859 FINISHED
Object Constitution of Kenya 2010 NE NERFINISHED

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: Constitution of Kenya 2010 | Statement: [Vice-President of Kenya, includedInDocument, Constitution of Kenya 2010]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includedInDocument
Context triple: [Vice-President of Kenya, includedInDocument, Constitution of Kenya 2010]
  • A. containedInDocumentBy
    Indicates that one entity is included or referenced within a document that is associated with or provided by another entity.
  • B. documentTypeIncluded
    Indicates that a particular document type is contained within, or is part of, a specified set or collection of document types.
  • C. includedInBook
    Indicates that something (such as a section, chapter, or content item) is contained within or forms part of a specific book.
  • D. includedWith
    Indicates that one entity is provided or packaged together as part of another entity.
  • E. includedBy
    Indicates that one entity is contained within, encompassed by, or treated as a subset or member of another entity.
  • F. None of above. chosen

Provenance (4 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_69f09125f784819080f4e9fce9fe624f completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69ffb5c373948190a6606e8caa87a384 completed May 9, 2026, 10:31 p.m.
PD Predicate disambiguation batch_69ffb261da788190b41399df8ed895e8 completed May 9, 2026, 10:17 p.m.
PDg Predicate description generation batch_69ffb5c2cef0819087a92a1a5ab694a8 completed May 9, 2026, 10:31 p.m.
Created at: April 28, 2026, 1:27 p.m.