Triple
T33937985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المدرسة النحوية البصرية |
E870085
|
entity |
| Predicate | مجالها |
P111844
|
FINISHED |
| Object | النحو |
—
|
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: النحو | Statement: [المدرسة النحوية البصرية, مجالها, النحو]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مجالها Context triple: [المدرسة النحوية البصرية, مجالها, النحو]
-
A.
campo
Indicates that an entity is associated with, located in, or characterized by a particular field, area, or domain (often geographic or topical).
-
B.
جایگاه
Indicates a positional or hierarchical relationship specifying the place, rank, or status of one entity relative to others.
-
C.
لها
Indicates that something belongs to, is possessed by, or is associated with a feminine or non-human entity.
-
D.
realmWithin
Indicates that one realm or domain is contained inside, or exists as a subset of, another realm or domain.
-
E.
area of activity
chosen
Indicates the domain, field, or sphere in which an entity is active or carries out its primary functions or operations.
- 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.