Triple
T22527064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | أفواه وأرانب |
E556933
|
entity |
| Predicate | تم تصويره |
P88839
|
FINISHED |
| Object | داخل مصر |
—
|
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: داخل مصر | Statement: [أفواه وأرانب, تم تصويره, داخل مصر]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تم تصويره Context triple: [أفواه وأرانب, تم تصويره, داخل مصر]
-
A.
wasRecordedBy
Indicates that an event, observation, or piece of data was captured or documented by a specific agent, instrument, or recording process.
-
B.
filmedAs
chosen
Indicates that an entity was recorded or captured in a particular form, version, or role during a filming or production process.
-
C.
wasRecordedIn
Indicates that an event, action, or piece of information was documented or captured within a specific record, medium, or recording session.
-
D.
filmedFor
Indicates that something was recorded or produced specifically for a particular purpose, audience, platform, or project.
-
E.
recordedForFilm
Indicates that an audio or performance was captured specifically for use in a film production.
- 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_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.