Triple
T10337260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الكتاب |
E243039
|
entity |
| Predicate | يُعدّ |
P1120
|
FINISHED |
| Object | من أقدم المراجع في النحو العربي |
—
|
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: من أقدم المراجع في النحو العربي | Statement: [الكتاب, يُعدّ, من أقدم المراجع في النحو العربي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُعدّ Context triple: [الكتاب, يُعدّ, من أقدم المراجع في النحو العربي]
-
A.
considersItself
Indicates that an entity regards or perceives itself in a particular way, role, or state.
-
B.
considered
chosen
Indicates that one entity regards, judges, or thinks about another entity in a particular way or context.
-
C.
isSuitableFor
Indicates that one entity is appropriate, fitting, or well-matched for use, application, or association with another entity.
-
D.
consideredIn
Indicates that one entity is taken into account, examined, or included as a factor within the context, scope, or decision framework of another entity.
-
E.
consideredPartOf
Indicates that one entity is regarded or treated as a component, segment, or subset of another entity within a larger whole.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:54 a.m.