Triple
T6656597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atoni |
E150959
|
entity |
| Predicate | modernReligionTrend |
P7518
|
FINISHED |
| Object | predominantly Protestant Christian with traditional elements |
—
|
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: predominantly Protestant Christian with traditional elements | Statement: [Atoni, modernReligionTrend, predominantly Protestant Christian with traditional elements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernReligionTrend Context triple: [Atoni, modernReligionTrend, predominantly Protestant Christian with traditional elements]
-
A.
religiousTrend
chosen
Indicates a pattern or direction of change over time in religious beliefs, practices, or affiliations among entities.
-
B.
contemporaryReligion
Indicates that two entities practice or are associated with religions that exist and are followed during the same historical time period.
-
C.
laterReligion
Indicates that one religion or religious affiliation chronologically follows or replaces another for the same entity.
-
D.
religionCommon
Indicates that the related entities share the same religion or religious affiliation.
-
E.
subjectReligion
Indicates that the subject is associated with, practices, or 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9d53848190ac75523c157249c6 |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad071b0081909b96dd4b93414bd1 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:01 p.m.