Triple
T30111651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | حزب الدستور المصري |
E765292
|
entity |
| Predicate | المنطقة الرئيسية للنشاط |
P111844
|
FINISHED |
| Object | جمهورية مصر العربية |
—
|
NE NERFINISHED |
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: جمهورية مصر العربية | Statement: [حزب الدستور المصري, المنطقة الرئيسية للنشاط, جمهورية مصر العربية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المنطقة الرئيسية للنشاط Context triple: [حزب الدستور المصري, المنطقة الرئيسية للنشاط, جمهورية مصر العربية]
-
A.
area of activity
chosen
Indicates the domain, field, or sphere in which an entity is active or carries out its primary functions or operations.
-
B.
النشاط الرئيس
Indicates that one entity is the primary or main activity associated with another entity.
-
C.
منطقة النشاط العلمي
Indicates the area or domain in which a scientific activity or research effort is carried out.
-
D.
primaryArea
Indicates that one entity is the main or most important area, domain, or field associated with another entity.
-
E.
majorActivity
Indicates that the related entity performs, participates in, or is primarily associated with a main or most significant activity.
- 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.