Triple
T22526252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | زكريا عزمي |
E556911
|
entity |
| Predicate | ارتبط اسمه بـ |
P148725
|
FINISHED |
| Object | الفساد السياسي في عهد مبارك |
—
|
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: الفساد السياسي في عهد مبارك | Statement: [زكريا عزمي, ارتبط اسمه بـ, الفساد السياسي في عهد مبارك]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ارتبط اسمه بـ Context triple: [زكريا عزمي, ارتبط اسمه بـ, الفساد السياسي في عهد مبارك]
-
A.
associatedName
Indicates that one entity has an alternative or related name that is linked or connected to another entity.
-
B.
relatedNamedEntity
Indicates that two entities are connected through a shared or associated proper name (e.g., person, organization, location, or other named entity).
-
C.
nameChangeAssociatedWith
Indicates that a change in one entity’s name is linked or correlated with a change or event involving another entity.
-
D.
hasNameMeaningRelation
Indicates that there is a relationship between an entity and a name that conveys or encodes a particular meaning or significance.
-
E.
associatedNewName
Indicates that an entity is linked to or identified by a newly assigned name or label.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed352b48190a96ef2896f2978cd |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:51 p.m.