Triple
T10480157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مستقبل وطن |
E247148
|
entity |
| Predicate | يعد_من |
P36577
|
FINISHED |
| Object | أكبر الأحزاب تمثيلاً في البرلمان المصري في السنوات الأخيرة |
—
|
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: أكبر الأحزاب تمثيلاً في البرلمان المصري في السنوات الأخيرة | Statement: [مستقبل وطن, يعد_من, أكبر الأحزاب تمثيلاً في البرلمان المصري في السنوات الأخيرة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يعد_من Context triple: [مستقبل وطن, يعد_من, أكبر الأحزاب تمثيلاً في البرلمان المصري في السنوات الأخيرة]
-
A.
isFrom
Indicates that one entity originates, comes, or has been sent from another entity or source.
-
B.
isRepresentiveOf
Indicates that one entity serves as an official agent, spokesperson, or proxy acting on behalf of another entity.
-
C.
isHuman
Indicates that the subject entity possesses the defining characteristics or status of being a human.
-
D.
among
chosen
Indicates that one or more entities are considered as part of, or in relation to, a larger group or collection of entities.
-
E.
knownAsOneOf
Indicates that an entity is recognized or referred to as one member of a specified set of alternative names, labels, or identities.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095b2ec881909e1220d83e750a75 |
completed | April 7, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8a30848190b33cf43f005a028e |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:22 p.m.