Triple
T3888733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ubangi-Shari |
E88006
|
entity |
| Predicate | religionMajorityDuringColonialPeriod |
P2986
|
FINISHED |
| Object | traditional African religions |
—
|
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: traditional African religions | Statement: [Ubangi-Shari, religionMajorityDuringColonialPeriod, traditional African religions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionMajorityDuringColonialPeriod Context triple: [Ubangi-Shari, religionMajorityDuringColonialPeriod, traditional African religions]
-
A.
dominantReligionLegacy
Indicates that a historically dominant religion has left a lasting influence or heritage on a society, culture, or region.
-
B.
dominantReligion
chosen
Indicates the religion that holds primary or majority status within a given group, region, or entity.
-
C.
religionOfConquerors
Indicates that the specified religion is practiced or upheld by the conquering group or power in a given context.
-
D.
usedInColonialPeriod
Indicates that something was utilized or in active use during a historical colonial period.
-
E.
religionMinority
Indicates that the subject’s religion is a minority faith within the relevant population or context.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecad4bf081909ae45a69d22468fa |
completed | March 9, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.