Triple
T25746545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | وزارة الطيران المدني المصرية |
E648359
|
entity |
| Predicate | يخضع لها |
P1313
|
FINISHED |
| Object | قواعد وتشريعات الطيران المدني المصري |
—
|
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: قواعد وتشريعات الطيران المدني المصري | Statement: [وزارة الطيران المدني المصرية, يخضع لها, قواعد وتشريعات الطيران المدني المصري]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يخضع لها Context triple: [وزارة الطيران المدني المصرية, يخضع لها, قواعد وتشريعات الطيران المدني المصري]
-
A.
holdsUnder
Indicates that one entity maintains possession, control, or validity of another entity subject to certain conditions, constraints, or a specific context.
-
B.
isSubjectTo
chosen
Indicates that one entity is governed, affected, or constrained by the authority, rules, conditions, or influence of another entity.
-
C.
undergoing
Indicates that an entity is currently experiencing, being subjected to, or in the process of a particular action, change, or treatment.
-
D.
تحمله
Indicates that one entity carries, bears, or supports another entity physically, emotionally, or figuratively.
-
E.
susceptibleTo
Indicates that one entity is vulnerable or likely to be affected, harmed, or influenced by another entity or factor.
- 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_69e7ab306eec8190b05c312c6ab186b8 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fd1fb8d88190a03c705fecf22634 |
completed | May 2, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 3:52 a.m.