Triple
T10480216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mostaqbal Watan Party |
E247149
|
entity |
| Predicate | mediaImage |
P50795
|
FINISHED |
| Object | loyal to the Egyptian presidency |
—
|
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: loyal to the Egyptian presidency | Statement: [Mostaqbal Watan Party, mediaImage, loyal to the Egyptian presidency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaImage Context triple: [Mostaqbal Watan Party, mediaImage, loyal to the Egyptian presidency]
-
A.
mediaDepictionAs
Indicates that one entity is portrayed or represented as another entity or in a particular way within some medium (e.g., image, film, text).
-
B.
mediaAssets
chosen
Indicates a relationship where one entity is associated with one or more media-related resources or files (such as images, videos, or audio).
-
C.
evokesImageOf
Indicates that one entity triggers or brings to mind a mental image or visual representation of another entity.
-
D.
mediaLabel
Indicates that a media item is associated with a specific label or tag that characterizes or categorizes it.
-
E.
publicImage
Indicates how an entity is perceived or represented by the general public or broader audience.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095b2ec881909e1220d83e750a75 |
completed | April 7, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8a30848190b33cf43f005a028e |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:22 p.m.