Triple
T1296019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uthman ibn Affan |
E27654
|
entity |
| Predicate | convertedToIslamDuring |
P11201
|
FINISHED |
| Object | Meccan period |
—
|
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: Meccan period | Statement: [Uthman ibn Affan, convertedToIslamDuring, Meccan period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToIslamDuring Context triple: [Uthman ibn Affan, convertedToIslamDuring, Meccan period]
-
A.
convertedToReligion
chosen
Indicates that an entity adopted or changed to a particular religion, typically from a previous belief system or lack thereof.
-
B.
acceptsCaliphateOf
Indicates that one entity formally acknowledges and agrees to the religious-political authority or leadership (caliphate) of another entity.
-
C.
associatedCaliph
Indicates a relationship where an entity is linked or connected to a specific caliph, typically through rule, patronage, affiliation, or historical association.
-
D.
convertedFrom
Indicates that one entity has been transformed or changed in form, type, or representation from another entity.
-
E.
hasReligiousMovement
Indicates that an entity is associated with, follows, or is characterized by a particular religious movement.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c3bb3a9c81909db2ad91defd87b6 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bee64d908190b6a9bb479959d523 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.