Triple
T32755862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdel Fattah el-Sisi |
E837618
|
entity |
| Predicate | cameToPowerContext |
P8145
|
FINISHED |
| Object | 2013 Egyptian coup d'état |
—
|
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: 2013 Egyptian coup d'état | Statement: [Abdel Fattah el-Sisi, cameToPowerContext, 2013 Egyptian coup d'état]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cameToPowerContext Context triple: [Abdel Fattah el-Sisi, cameToPowerContext, 2013 Egyptian coup d'état]
-
A.
cameToPowerThrough
Indicates the manner or process by which an entity attained authority, leadership, or control, specifying how it rose to power.
-
B.
cameToPowerAfter
Indicates that one entity assumed authority or control following the rule or tenure of another entity.
-
C.
cameToPowerIn
chosen
Indicates the time or context in which an entity assumed control, authority, or leadership over a group, organization, or territory.
-
D.
cameToPowerWithSupportFrom
Indicates that an entity attained a position of power or authority aided or enabled by the backing, assistance, or endorsement of another entity.
-
E.
successorPowerContext
Indicates that one entity holds or exercises power or authority as a successor within a particular contextual or situational framework.
- 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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:12 a.m.