Triple
T22526795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عمر الشريف |
E556924
|
entity |
| Predicate | الإقامة |
P118897
|
FINISHED |
| Object | تنقل بين مصر وفرنسا وأمريكا |
—
|
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: تنقل بين مصر وفرنسا وأمريكا | Statement: [عمر الشريف, الإقامة, تنقل بين مصر وفرنسا وأمريكا]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الإقامة Context triple: [عمر الشريف, الإقامة, تنقل بين مصر وفرنسا وأمريكا]
-
A.
likelyResidence
chosen
Indicates that an entity is probably located at, lives at, or is most commonly associated with a particular place of residence.
-
B.
grantedResidence
Indicates that one entity has officially conferred the right to reside or live in a place or jurisdiction to another entity.
-
C.
reservationEstablishedIn
Indicates that a reservation (such as a booking or protected area) was created, set up, or formally established in a particular place or context.
-
D.
settledAfterDeportationIn
Indicates that an entity established residence in a place following its deportation or forced removal.
-
E.
intendedResidence
Indicates that one entity is designated or planned to serve as the place where another entity will live or reside.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed411488190a51320930b9805c2 |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:51 p.m.