Triple
T25746523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | وزارة الطيران المدني المصرية |
E648359
|
entity |
| Predicate | يتبعها |
P159219
|
FINISHED |
| Object | الشركة القابضة لمصر للطيران |
—
|
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: الشركة القابضة لمصر للطيران | Statement: [وزارة الطيران المدني المصرية, يتبعها, الشركة القابضة لمصر للطيران]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يتبعها Context triple: [وزارة الطيران المدني المصرية, يتبعها, الشركة القابضة لمصر للطيران]
-
A.
يتبعها
chosen
Indicates that one entity comes after, succeeds, or is subordinate to another in order, sequence, or hierarchy.
-
B.
follows
Indicates that one entity comes after, moves behind, or acts in accordance with another entity in time, space, or sequence.
-
C.
خلفه
Indicates that one entity comes after, succeeds, or replaces another in position, role, or time.
-
D.
استمرحتى
Indicates that an action or state continues up to a specified endpoint or time limit.
-
E.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
- 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_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 3:51 a.m.