Triple
T33937967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المدرسة النحوية البصرية |
E870085
|
entity |
| Predicate | من_أعلامها |
P159361
|
FINISHED |
| Object | أبو الأسود الدؤلي |
—
|
NE NERFINISHED |
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: أبو الأسود الدؤلي | Statement: [المدرسة النحوية البصرية, من_أعلامها, أبو الأسود الدؤلي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: من_أعلامها Context triple: [المدرسة النحوية البصرية, من_أعلامها, أبو الأسود الدؤلي]
-
A.
من أعلامه
chosen
Indicates that something or someone is among the notable figures, landmarks, or distinguishing symbols associated with a particular entity (such as a place, field, or group).
-
B.
لها
Indicates that something belongs to, is possessed by, or is associated with a feminine or non-human entity.
-
C.
قبلة
Indicates a kissing action or gesture occurring between entities.
-
D.
الهوية
Indicates that two entities are identical, representing the relation of identity or sameness between them.
-
E.
آثار شاخص
Indicates that an entity has notable or distinguished works or creations associated with it.
- 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_69f3499a59788190bff762a891471b31 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.