Triple

T26861767
Position Surface form Disambiguated ID Type / Status
Subject Chinese Guyanese E676347 entity
Predicate notableReligionTrend P7518 FINISHED
Object conversion to Christianity over generations LITERAL 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: conversion to Christianity over generations | Statement: [Chinese Guyanese, notableReligionTrend, conversion to Christianity over generations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableReligionTrend
Context triple: [Chinese Guyanese, notableReligionTrend, conversion to Christianity over generations]
  • A. religiousTrend chosen
    Indicates a pattern or direction of change over time in religious beliefs, practices, or affiliations among entities.
  • B. religionNote
    Indicates that there is an explanatory note or comment providing additional information or clarification about a subject’s religion.
  • C. promotedReligion
    Indicates that an entity actively supported, advocated for, or worked to spread a particular religion.
  • D. religionSignificant
    Indicates that a particular religion plays an important or influential role in relation to the referenced entity or context.
  • E. approximateReligionShare
    Indicates an estimated proportion or percentage of a population that adheres to a particular religion.
  • 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_69eee9ba94bc8190b44c5d4397d04ecd completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69ff38b960808190a8263348f1e5c0e4 completed May 9, 2026, 1:38 p.m.
PD Predicate disambiguation batch_69ff37d97d9c8190849b2bac14f9af1d completed May 9, 2026, 1:34 p.m.
Created at: April 27, 2026, 5:25 a.m.