Triple
T25860947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | أهل السنة والجماعة |
E651475
|
entity |
| Predicate | يمثلون |
P33418
|
FINISHED |
| Object | أكبر_طائفة_في_الإسلام |
—
|
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: أكبر_طائفة_في_الإسلام | Statement: [أهل السنة والجماعة, يمثلون, أكبر_طائفة_في_الإسلام]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يمثلون Context triple: [أهل السنة والجماعة, يمثلون, أكبر_طائفة_في_الإسلام]
-
A.
areRepresentedBy
Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
-
B.
representsPeople
chosen
Indicates that one entity serves as a representation or stand-in for one or more people.
-
C.
isRepresentiveOf
Indicates that one entity serves as an official agent, spokesperson, or proxy acting on behalf of another entity.
-
D.
representationIn
Indicates that one entity serves as a depiction, model, or stand-in for another entity within a given context or medium.
-
E.
memberRepresents
Indicates that one entity serves as an official representative or delegate acting on behalf of another entity within a group, organization, or body.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6026b467c8190a1f8be336f8679da |
completed | May 2, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69f4939148dc81908706cec7d85291bc |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 8:05 a.m.