Triple
T15304389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نول |
E365859
|
entity |
| Predicate | تُستخدم من قبل |
P22634
|
FINISHED |
| Object | المقيمين في دبي |
—
|
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: المقيمين في دبي | Statement: [نول, تُستخدم من قبل, المقيمين في دبي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تُستخدم من قبل Context triple: [نول, تُستخدم من قبل, المقيمين في دبي]
-
A.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
B.
usedWith
Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
-
C.
usedByTool
Indicates that a particular tool is employed or operated by a specified agent or entity.
-
D.
areUsedBy
chosen
Indicates that certain entities serve as tools, resources, or means that are utilized or employed by other entities.
-
E.
usedAcross
Indicates that something is utilized or applied in multiple different contexts, locations, or domains.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccef14c819099c5ebe962e7f867 |
completed | April 16, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.