Triple
T26309306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المدمدمة |
E661775
|
entity |
| Predicate | نوع_التسمية |
P118994
|
FINISHED |
| Object | تسمية وصفية |
—
|
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: تسمية وصفية | Statement: [المدمدمة, نوع_التسمية, تسمية وصفية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: نوع_التسمية Context triple: [المدمدمة, نوع_التسمية, تسمية وصفية]
-
A.
labelingType
chosen
Indicates the specific kind or category of labeling applied to an entity or between entities, such as the method, standard, or purpose of the label.
-
B.
labelOf
Indicates that one entity serves as the name, tag, or identifying label assigned to another entity.
-
C.
labelCatalogType
Indicates that an entity is assigned a specific catalog type label, defining its classification within a cataloging system.
-
D.
labelCatalog
Indicates assigning or associating a descriptive label or identifier with a catalog entity or catalog entry.
-
E.
tagType
Indicates the classification or category assigned to a tag, specifying what kind of tag it is or how it should be interpreted.
- 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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60ee64ce08190b9fbede178cc6f28 |
completed | May 2, 2026, 2:49 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 10:21 p.m.