Triple
T12657095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | حسين |
E302312
|
entity |
| Predicate | صيغة تصغير لـ |
P456
|
FINISHED |
| Object | اسم حسن في العربية الكلاسيكية |
—
|
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: اسم حسن في العربية الكلاسيكية | Statement: [حسين, صيغة تصغير لـ, اسم حسن في العربية الكلاسيكية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: صيغة تصغير لـ Context triple: [حسين, صيغة تصغير لـ, اسم حسن في العربية الكلاسيكية]
-
A.
hasDiminutive
chosen
Indicates that one entity is a diminutive form or smaller/affectionate variant of another entity.
-
B.
shortFormType
Indicates that one entity is a shortened, abbreviated, or otherwise condensed form or variant of another entity.
-
C.
alternativeForm
Indicates that one entity is an alternative version, variant, or representation of another entity.
-
D.
definesFormatFor
Indicates that one entity specifies or establishes the format or structural pattern to be used by another entity.
-
E.
formalismFor
Indicates that one entity serves as a formal representation, framework, or notation specifically designed to model, describe, or reason about 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:18 p.m.