Triple
T18496576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الحركة المصرية من أجل التغيير |
E451962
|
entity |
| Predicate | موقف_من_النظام |
P99294
|
FINISHED |
| Object | معارضة نظام حسني 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: معارضة نظام حسني مبارك | Statement: [الحركة المصرية من أجل التغيير, موقف_من_النظام, معارضة نظام حسني مبارك]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: موقف_من_النظام Context triple: [الحركة المصرية من أجل التغيير, موقف_من_النظام, معارضة نظام حسني مبارك]
-
A.
politicalSystemCritiqued
chosen
Indicates that a political system is the target of criticism, evaluation, or negative commentary by an entity.
-
B.
associatedPoliticalSystem
Indicates that there exists a political system with which the subject is formally or conceptually connected.
-
C.
politicalSystemOnOtherSide
Indicates that one political system is located or operates on the opposite side of a specified reference point or boundary relative to another.
-
D.
نظامالحكم
Indicates the type or structure of governance or political system under which an entity is ruled.
-
E.
supportedPoliticalSystem
Indicates that one entity endorsed, favored, or actively backed a particular political system or form of governance.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c09a8081909cf0b44df3682bb8 |
completed | April 19, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69e469dbf5208190b6fc49e02a087f54 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:35 a.m.