Triple
T33791946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عهد الدولة الموحدية |
E865953
|
entity |
| Predicate | تأثر_به |
P25489
|
FINISHED |
| Object | الطراز المعماري المغربي الأندلسي |
—
|
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: الطراز المعماري المغربي الأندلسي | Statement: [عهد الدولة الموحدية, تأثر_به, الطراز المعماري المغربي الأندلسي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تأثر_به Context triple: [عهد الدولة الموحدية, تأثر_به, الطراز المعماري المغربي الأندلسي]
-
A.
اثر
Indicates a causal or influential relationship where one entity produces, changes, or leaves an impact on another.
-
B.
اثر
Indicates that one entity has an effect, influence, or impact on another entity.
-
C.
influenced
Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
-
D.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
-
E.
areAffectedBy
chosen
Indicates that one entity experiences an effect, influence, or impact as a result of another entity or event.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:45 a.m.