Triple
T18496566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الحركة المصرية من أجل التغيير |
E451962
|
entity |
| Predicate | سياق_الظهور |
P118237
|
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, سياق_الظهور, معارضة نظام حسني مبارك]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: سياق_الظهور Context triple: [الحركة المصرية من أجل التغيير, سياق_الظهور, معارضة نظام حسني مبارك]
-
A.
appearsInContextWith
chosen
Indicates that two entities are observed or used together within the same situational, textual, or usage context.
-
B.
appearsFor
Indicates that one entity is presented, shown, or made visible on behalf of, or in representation of, another entity.
-
C.
appearsAs
Indicates that one entity is presented, perceived, or manifested in the form, role, or guise of another entity.
-
D.
presentedBy
Indicates that something (such as an event, performance, or work) is formally organized, hosted, or introduced by a particular person or entity.
-
E.
appearedWith
Indicates that two entities were present or participated together in the same context, event, or medium.
- 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.