Triple
T25843628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | صاد |
E651003
|
entity |
| Predicate | شكل_في_آخر_الكلمة |
P159828
|
FINISHED |
| Object | ـص |
—
|
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: ـص | Statement: [صاد, شكل_في_آخر_الكلمة, ـص]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: شكل_في_آخر_الكلمة Context triple: [صاد, شكل_في_آخر_الكلمة, ـص]
-
A.
شكل_في_وسط_الكلمة
Indicates that something appears in the middle position within a word.
-
B.
الشكل
Indicates a relationship where one entity represents, takes, or describes the form, shape, or configuration of another entity.
-
C.
typicalWordFormation
Indicates the usual or most common way in which a word is formed from other linguistic elements (such as roots, affixes, or compounds).
-
D.
شكل_منفصل
Indicates that one entity has a separate or distinct form from another entity.
-
E.
hasWordFormation
Indicates that one linguistic unit is formed or derived from another through a specific word-formation process (such as compounding, derivation, or affixation).
- F. None of above. chosen
Provenance (4 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_69e7ab38086081908f3a8e7e0c6efd83 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6023662a48190b8eb77eebc225c36 |
completed | May 2, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 22, 2026, 7:51 a.m.