Triple
T19350268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salon of 1804 |
E483996
|
entity |
| Predicate | exhibitedWorkTheme |
P5290
|
FINISHED |
| Object | military victories |
—
|
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: military victories | Statement: [Salon of 1804, exhibitedWorkTheme, military victories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exhibitedWorkTheme Context triple: [Salon of 1804, exhibitedWorkTheme, military victories]
-
A.
exhibitsWorkOf
Indicates that one entity displays or presents the creative works produced by another entity.
-
B.
exhibitTheme
chosen
Indicates that something (such as a work, event, or presentation) presents, embodies, or is organized around a particular theme.
-
C.
exhibitionDiscipline
Indicates the academic or artistic field that characterizes or organizes an exhibition.
-
D.
exhibitionType
Indicates the specific category or kind of exhibition associated with an entity (e.g., art show, trade fair, scientific exhibit).
-
E.
hasTypeOfWorkExhibited
Indicates that a subject (such as an exhibition or venue) features or displays a particular type or category of work.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6190381c081909c747a22422fb02c |
completed | April 20, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:34 p.m.