Triple
T4412438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of the Republic (Egypt) |
E94880
|
entity |
| Predicate | awardedForSector |
P32639
|
FINISHED |
| Object | civil service |
—
|
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: civil service | Statement: [Order of the Republic (Egypt), awardedForSector, civil service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedForSector Context triple: [Order of the Republic (Egypt), awardedForSector, civil service]
-
A.
awardedForActivitiesIn
chosen
Indicates that an award or recognition is given to an entity specifically because of activities carried out in a particular field, context, or domain.
-
B.
hasSeparateAwardFor
Indicates that there exists a distinct, dedicated award specifically recognizing the related entity, separate from other general or combined awards.
-
C.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
D.
awardAspect
Indicates that one entity specifies a particular characteristic, category, or facet of an award associated with another entity.
-
E.
positionAwarded
Indicates that a specific position, role, or title has been formally granted to an entity (such as a person or organization).
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e7b30c819082ee781dd202dcc4 |
completed | March 13, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69b34f5d0c54819085c08533bb58030a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:29 p.m.