Triple
T10337289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الكتاب |
E243039
|
entity |
| Predicate | حُفظ |
P49226
|
FINISHED |
| Object | عن طريق روايات تلاميذ سيبويه |
—
|
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: عن طريق روايات تلاميذ سيبويه | Statement: [الكتاب, حُفظ, عن طريق روايات تلاميذ سيبويه]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: حُفظ Context triple: [الكتاب, حُفظ, عن طريق روايات تلاميذ سيبويه]
-
A.
save
Indicates preserving or storing something from loss, harm, or use, often for future benefit or protection.
-
B.
conserves
Indicates that an entity protects, preserves, or maintains another entity or resource in its existing state, preventing loss, damage, or depletion.
-
C.
savedWith
Indicates that one entity is preserved, stored, or kept together in association with another entity.
-
D.
somePreservedAs
Indicates that at least one part or instance of an entity is kept or maintained in a particular state, form, or condition.
-
E.
saveBy
chosen
Indicates that one entity preserves, rescues, or protects another entity from loss, harm, or danger.
- 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.