Triple
T24134360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tangkhul Naga |
E598041
|
entity |
| Predicate | colonialEraReligionChange |
P154970
|
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: [Tangkhul Naga, colonialEraReligionChange, conversion to Christianity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colonialEraReligionChange Context triple: [Tangkhul Naga, colonialEraReligionChange, conversion to Christianity]
-
A.
religionDuringColonialPeriod
Indicates that an entity’s religion is characterized specifically in the context of the colonial period.
-
B.
religionOfColonists
Indicates the religious affiliation practiced or imposed by colonizing groups in a given colonial context.
-
C.
religiousConversionPeriod
Indicates the time span during which an entity undergoes or is involved in a process of religious conversion.
-
D.
religionMajorityEarlyModern
Indicates that, during the early modern period, a specified religion was the majority faith within a given population or region.
-
E.
colonialChange
Indicates a change in colonial status or control of a territory, such as gaining, losing, or altering colonial rule.
- 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_69e288c92e448190ac57034fa0c863ce |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1df7b6e9c819097fb546efa35821b |
completed | April 29, 2026, 10:37 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 11:26 p.m.