Triple
T33937955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المدرسة النحوية البصرية |
E870085
|
entity |
| Predicate | تُعلي_من_قيمة |
P7907
|
FINISHED |
| Object | القياس على السماع |
—
|
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: القياس على السماع | Statement: [المدرسة النحوية البصرية, تُعلي_من_قيمة, القياس على السماع]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تُعلي_من_قيمة Context triple: [المدرسة النحوية البصرية, تُعلي_من_قيمة, القياس على السماع]
-
A.
increases
chosen
Indicates that one entity causes another entity’s value, level, or intensity to become larger or higher.
-
B.
value
Indicates that one entity possesses, represents, or corresponds to a particular quantity, quality, or assigned worth.
-
C.
valuedBy
Indicates that one entity is regarded as important, useful, or held in high esteem by another entity.
-
D.
valorization
Indicates the process of increasing or assigning value, importance, or worth to something, often through social, economic, or cultural recognition.
-
E.
increasesWith
Indicates that as the value or magnitude of one entity grows, the value or magnitude of another entity correspondingly grows as well.
- 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.