Triple

T37049111
Position Surface form Disambiguated ID Type / Status
Subject Gikuyu–Embu–Meru peoples E917000 entity
Predicate majorModernReligions P158143 FINISHED
Object Christianity 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: Christianity | Statement: [Gikuyu–Embu–Meru peoples, majorModernReligions, Christianity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: majorModernReligions
Context triple: [Gikuyu–Embu–Meru peoples, majorModernReligions, Christianity]
  • A. modernReligionMix
    Indicates a relationship where elements from multiple religious traditions are combined or blended into a contemporary, syncretic religious practice or identity.
  • B. contemporaryReligion
    Indicates that two entities practice or are associated with religions that exist and are followed during the same historical time period.
  • C. haveModernReligion chosen
    Indicates that an entity practices, follows, or is associated with a contemporary or currently existing religion.
  • D. modernReligionOrganization
    Indicates that an organization functions as a religious institution or group in the modern or contemporary period.
  • E. laterReligion
    Indicates that one religion or religious affiliation chronologically follows or replaces another for the same entity.
  • F. None of above.

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_69f76e94d0308190a3f06890e133c88e completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ffe6e2eb688190a45fd2c6415cd86a completed May 10, 2026, 2:01 a.m.
PD Predicate disambiguation batch_69ffe65939488190a35b9c2e9c7ad868 completed May 10, 2026, 1:58 a.m.
Created at: May 3, 2026, 4:14 p.m.