Triple
T34145404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عيسى بن عمر الثقفي |
E875840
|
entity |
| Predicate | الأثر |
P157510
|
FINISHED |
| Object | كان له أثر كبير في تأسيس قواعد النحو البصري |
—
|
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: كان له أثر كبير في تأسيس قواعد النحو البصري | Statement: [عيسى بن عمر الثقفي, الأثر, كان له أثر كبير في تأسيس قواعد النحو البصري]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الأثر Context triple: [عيسى بن عمر الثقفي, الأثر, كان له أثر كبير في تأسيس قواعد النحو البصري]
-
A.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
-
B.
اثر
chosen
Indicates a causal or influential relationship where one entity produces, changes, or leaves an impact on another.
-
C.
اثر
Indicates that one entity has an effect, influence, or impact on another entity.
-
D.
भूमिका
Indicates a relationship where an entity serves, functions, or acts in a particular capacity or role with respect to another entity or context.
-
E.
الجيل
Indicates a generational relationship, linking entities as belonging to the same generation or specifying that one entity is a particular generation relative to another.
- 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_69f349abaa508190a820f206620efddc |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:54 a.m.