Triple
T30295715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | القيادة الإسلامية للعالم السني |
E770512
|
entity |
| Predicate | يُميز |
P159345
|
FINISHED |
| Object | عن القيادة الدينية في المذاهب الإسلامية الأخرى |
—
|
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: عن القيادة الدينية في المذاهب الإسلامية الأخرى | Statement: [القيادة الإسلامية للعالم السني, يُميز, عن القيادة الدينية في المذاهب الإسلامية الأخرى]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُميز Context triple: [القيادة الإسلامية للعالم السني, يُميز, عن القيادة الدينية في المذاهب الإسلامية الأخرى]
-
A.
يميز
chosen
Indicates that one entity distinguishes, differentiates, or sets something apart from something else.
-
B.
distinguishingTrait
Indicates that a particular characteristic or feature uniquely differentiates one entity from another.
-
C.
characterizedBy
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
D.
distinctiveMarking
Indicates that one entity bears a unique or distinguishing visual feature or pattern that sets it apart from others.
-
E.
introducesDistinction
Indicates that one entity establishes or makes clear a conceptual or categorical difference between two or more entities or ideas.
- 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_69f224881b948190b8c4921b250a44a3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68136bbb08190a2631b3f6264263c |
completed | May 2, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:48 p.m.