Triple
T212756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muhammad |
E4752
|
entity |
| Predicate | preachedDoctrine |
P1476
|
FINISHED |
| Object | monotheism |
—
|
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: monotheism | Statement: [Muhammad, preachedDoctrine, monotheism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preachedDoctrine Context triple: [Muhammad, preachedDoctrine, monotheism]
-
A.
teachesDoctrine
chosen
Indicates that one entity imparts, explains, or promotes a specific doctrine or set of beliefs to another entity.
-
B.
religiousFunction
Indicates that one entity serves a religious role, purpose, or function in relation to another entity.
-
C.
theologicalFocus
Indicates that something is primarily concerned with, centered on, or directed toward theological themes, questions, or doctrines.
-
D.
theologicalCategory
Indicates the classification of something according to a particular theological type, tradition, or doctrinal category.
-
E.
theologicalTradition
Indicates the religious or doctrinal school, lineage, or system of belief within which an entity’s theology is developed or practiced.
- 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c313d108190a65d3e939f961bef |
completed | Feb. 28, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69a25b509400819093a6c1a1bac861e3 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:52 a.m.