Triple
T25861039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المذهب الحنبلي |
E651476
|
entity |
| Predicate | له تأثير في |
P158761
|
FINISHED |
| Object | المدونات الفقهية والقضائية في السعودية |
—
|
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: المدونات الفقهية والقضائية في السعودية | Statement: [المذهب الحنبلي, له تأثير في, المدونات الفقهية والقضائية في السعودية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: له تأثير في Context triple: [المذهب الحنبلي, له تأثير في, المدونات الفقهية والقضائية في السعودية]
-
A.
اثر
Indicates a causal or influential relationship where one entity produces, changes, or leaves an impact on another.
-
B.
اثر
chosen
Indicates that one entity has an effect, influence, or impact on another entity.
-
C.
exportImpact
Indicates the effect or consequences that an entity’s exports have on another entity, system, or context.
-
D.
limitedEffectOn
Indicates that one entity’s influence, impact, or consequence on another is small in magnitude, scope, or significance.
-
E.
effectOnUser
Indicates how an action, event, or condition influences or impacts a user.
- 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_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 8:05 a.m.