Triple
T33937961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المدرسة النحوية البصرية |
E870085
|
entity |
| Predicate | استمرت_في |
P99579
|
FINISHED |
| Object | العصر العباسي |
—
|
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: العصر العباسي | Statement: [المدرسة النحوية البصرية, استمرت_في, العصر العباسي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: استمرت_في Context triple: [المدرسة النحوية البصرية, استمرت_في, العصر العباسي]
-
A.
استمرحتى
Indicates that an action or state continues up to a specified endpoint or time limit.
-
B.
remainedIn
chosen
Indicates that an entity stayed within or continued to be located in a particular place or state for a period of time.
-
C.
continuesCourseOf
Indicates that one course, treatment, or process is carried on, extended, or maintained as a direct continuation of another.
-
D.
continuedToFace
Indicates that one entity maintained its orientation or direction toward another entity or reference point over a period of time.
-
E.
continuedBy
Indicates that one entity carries on, extends, or resumes the activity, process, or sequence initiated by another entity.
- 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_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:49 a.m.