Triple
T33791756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | حزب وطني |
E865949
|
entity |
| Predicate | يستخدم_وسائل |
P129262
|
FINISHED |
| Object | الحملات الانتخابية |
—
|
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: الحملات الانتخابية | Statement: [حزب وطني, يستخدم_وسائل, الحملات الانتخابية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يستخدم_وسائل Context triple: [حزب وطني, يستخدم_وسائل, الحملات الانتخابية]
-
A.
usageAmong
Indicates how frequently or in what manner something is used within a particular group, context, or population.
-
B.
usedWith
Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
-
C.
technologyUsedFor
Indicates that a particular technology is employed or applied to accomplish, support, or enable a specific purpose, task, or function.
-
D.
usedVia
chosen
Indicates that an entity performs or achieves something by means of, or through the use of, another entity or mechanism.
-
E.
usageType
Indicates the specific manner, purpose, or context in which something is used or intended to be used.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:45 a.m.