Triple
T30296400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohamed Ali Room |
E770530
|
entity |
| Predicate | exhibitsTheme |
P5290
|
FINISHED |
| Object | Muhammad Ali Pasha’s rule in Egypt |
—
|
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: Muhammad Ali Pasha’s rule in Egypt | Statement: [Mohamed Ali Room, exhibitsTheme, Muhammad Ali Pasha’s rule in Egypt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exhibitsTheme Context triple: [Mohamed Ali Room, exhibitsTheme, Muhammad Ali Pasha’s rule in Egypt]
-
A.
exhibitTheme
chosen
Indicates that something (such as a work, event, or presentation) presents, embodies, or is organized around a particular theme.
-
B.
exhibitFor
Indicates a relationship where something is displayed, presented, or shown for the benefit, use, or consideration of a particular audience, purpose, or entity.
-
C.
exhibitionConcept
Indicates that one entity serves as the conceptual theme, idea, or curatorial framework underlying an exhibition associated with another entity.
-
D.
exhibitionFunction
Indicates that one entity serves as the function, role, or purpose of an exhibition associated with another entity.
-
E.
exhibitionType
Indicates the specific category or kind of exhibition associated with an entity (e.g., art show, trade fair, scientific exhibit).
- 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_69f224881b948190b8c4921b250a44a3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68136bbb08190a2631b3f6264263c |
completed | May 2, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:48 p.m.