Triple
T21706888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quranism |
E535792
|
entity |
| Predicate | selfDescriptionByAdherents |
P3917
|
FINISHED |
| Object | Quran-based Islam |
—
|
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: Quran-based Islam | Statement: [Quranism, selfDescriptionByAdherents, Quran-based Islam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selfDescriptionByAdherents Context triple: [Quranism, selfDescriptionByAdherents, Quran-based Islam]
-
A.
isConsideredByAdherents
chosen
Indicates that something (such as a belief, practice, object, or figure) is regarded or held in a particular way by the people who adhere to a specific faith, ideology, or group.
-
B.
hasAdherentsIn
Indicates that a belief system, organization, or movement has followers or supporters located within a specified place or region.
-
C.
religiousBranchOf
Indicates that one religion, denomination, or sect is a subdivision or offshoot of a larger parent religious tradition.
-
D.
laterAdherentsCount
Indicates the number of adherents who joined or adopted something after an initial reference point or time.
-
E.
hasApproximateAdherents
Indicates that an entity is associated with a non-exact, estimated number of adherents or followers.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb530779c819080204c3bd2f6afa2 |
completed | April 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:46 p.m.