Triple
T30111661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | حزب الدستور المصري |
E765292
|
entity |
| Predicate | سياق التأسيس |
P75950
|
FINISHED |
| Object | مرحلة ما بعد ثورة 25 يناير في مصر |
—
|
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: مرحلة ما بعد ثورة 25 يناير في مصر | Statement: [حزب الدستور المصري, سياق التأسيس, مرحلة ما بعد ثورة 25 يناير في مصر]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: سياق التأسيس Context triple: [حزب الدستور المصري, سياق التأسيس, مرحلة ما بعد ثورة 25 يناير في مصر]
-
A.
foundedInContext
chosen
Indicates that an entity established or created another entity within a specified situational, historical, or organizational context.
-
B.
coFoundedInContextOf
Indicates that two or more entities jointly founded something (such as an organization, project, or initiative) within a specific context, domain, or circumstance.
-
C.
foundingOf
Indicates the event or relationship in which an entity is established or created, typically linking the founder(s), the founded entity, and the time or context of its creation.
-
D.
founded in
Indicates that an entity was established or created at a particular time or place.
-
E.
foundingAround
Indicates that an entity was founded at approximately, but not exactly, the specified time or within a loosely defined surrounding period.
- 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_69f22475ad7c8190be7f9541044a0bbb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67dbfc82081909ae5d04676627a6c |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:10 p.m.