Triple
T25861010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المذهب الحنبلي |
E651476
|
entity |
| Predicate | يُعرف |
P85915
|
FINISHED |
| Object | بالتشدد النسبي في مسائل العبادات والمعاملات مقارنة ببعض المذاهب 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: بالتشدد النسبي في مسائل العبادات والمعاملات مقارنة ببعض المذاهب الأخرى | Statement: [المذهب الحنبلي, يُعرف, بالتشدد النسبي في مسائل العبادات والمعاملات مقارنة ببعض المذاهب الأخرى]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُعرف Context triple: [المذهب الحنبلي, يُعرف, بالتشدد النسبي في مسائل العبادات والمعاملات مقارنة ببعض المذاهب الأخرى]
-
A.
известенКак
chosen
Indicates that one entity is known or recognized by a particular name, title, or role.
-
B.
известенС
Indicates that one entity is known or recognized by another entity.
-
C.
knows
Indicates that one entity has knowledge or awareness of another entity or piece of information.
-
D.
известноКак
Indicates that one entity is known or referred to by another name, designation, or alias.
-
E.
segmentKnownFor
Indicates that a specific segment or portion of something is recognized or notable for a particular characteristic, feature, or association.
- 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_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 22, 2026, 8:05 a.m.