Triple

T15945393
Position Surface form Disambiguated ID Type / Status
Subject Sidama E386669 entity
Predicate historicalReligionShift P76216 FINISHED
Object conversion to Christianity 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 | Statement: [Sidama, historicalReligionShift, conversion to Christianity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalReligionShift
Context triple: [Sidama, historicalReligionShift, conversion to Christianity]
  • A. religiousConversionPeriod
    Indicates the time span during which an entity undergoes or is involved in a process of religious conversion.
  • B. religiousDemographyChange chosen
    Indicates a change over time in the religious composition or affiliation distribution within a population or region.
  • C. laterRevertedReligion
    Indicates that an entity adopted a religion and then subsequently reverted or returned to a previous or different religious affiliation.
  • D. religionMajorityEarlyModern
    Indicates that, during the early modern period, a specified religion was the majority faith within a given population or region.
  • E. hadMajorReligion
    Indicates that a particular religion was the primary or dominant faith practiced within a given entity (such as a region, state, or population) during a specified period.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e17d4d08f481909f38b75e3f42d9ab completed April 17, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69e142d37cd88190ab50760f1783e20c completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:53 a.m.