Triple
T25746550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | وزارة الطيران المدني المصرية |
E648359
|
entity |
| Predicate | تشارك في |
P4470
|
FINISHED |
| Object | إبرام اتفاقيات النقل الجوي الثنائية |
—
|
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: إبرام اتفاقيات النقل الجوي الثنائية | Statement: [وزارة الطيران المدني المصرية, تشارك في, إبرام اتفاقيات النقل الجوي الثنائية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تشارك في Context triple: [وزارة الطيران المدني المصرية, تشارك في, إبرام اتفاقيات النقل الجوي الثنائية]
-
A.
participation
chosen
Indicates that an entity takes part in, contributes to, or is involved in a shared activity, event, or process with others.
-
B.
participationIncludes
Indicates that a broader participation instance encompasses or contains a more specific participation instance as part of it.
-
C.
overseesParticipationOf
Indicates that one entity supervises, manages, or has authority over another entity’s involvement in an activity, process, or group.
-
D.
involves
Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
-
E.
participantFrom
Indicates that a participant originates from, is associated with, or comes out of a specified source, group, or context.
- 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.