Triple
T1989387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civil Status Organization of Egypt |
E43215
|
entity |
| Predicate | dataSubject |
P35213
|
FINISHED |
| Object | Egyptian citizens |
—
|
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: Egyptian citizens | Statement: [Civil Status Organization of Egypt, dataSubject, Egyptian citizens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataSubject Context triple: [Civil Status Organization of Egypt, dataSubject, Egyptian citizens]
-
A.
legalSubject
Indicates that an entity is the bearer of legal rights, duties, or responsibilities within a legal relationship or context.
-
B.
dataPortal
Indicates that an entity serves as or is associated with an online interface or gateway through which data can be accessed, managed, or distributed.
-
C.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
-
D.
subjectIdentity
Indicates that two or more references correspond to the same underlying entity or individual identity.
-
E.
subjectCanBe
Indicates that the subject has the potential or capability to assume, become, or be classified as the specified object or state.
- F. None of above. chosen
Provenance (4 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8ee02dc81908fec9fd8df7a4f40 |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb79ad6888190be99943a9c73cf3e |
completed | March 7, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69abb8ec608c81908917e945e0118ac4 |
completed | March 7, 2026, 5:34 a.m. |
Created at: March 4, 2026, 7:37 p.m.