Triple
T7574723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African traditional religion |
E179331
|
entity |
| Predicate | worldviewIncludes |
P19063
|
FINISHED |
| Object | cyclical concept of time |
—
|
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: cyclical concept of time | Statement: [African traditional religion, worldviewIncludes, cyclical concept of time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldviewIncludes Context triple: [African traditional religion, worldviewIncludes, cyclical concept of time]
-
A.
worldview
chosen
Indicates the overarching perspective or framework through which an entity interprets and understands the world and its experiences.
-
B.
viewOfGod
Indicates a relationship where an entity holds a particular conception, perspective, or understanding of God.
-
C.
viewOnUniversals
Indicates a philosophical stance or theory an entity holds regarding the nature and existence of universals (e.g., whether they are real, conceptual, or merely linguistic).
-
D.
worldStyle
Indicates the stylistic or aesthetic manner in which a world, setting, or environment is presented or designed.
-
E.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f94a25148190b5b76e000e0336c4 |
completed | March 27, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69c6f4de77048190b8769e717fdcf8e7 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:51 p.m.