Triple
T16088698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1992 Windsor Castle fire |
E390301
|
entity |
| Predicate | artworksSaved |
P121854
|
FINISHED |
| Object | majority of artworks removed |
—
|
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: majority of artworks removed | Statement: [1992 Windsor Castle fire, artworksSaved, majority of artworks removed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artworksSaved Context triple: [1992 Windsor Castle fire, artworksSaved, majority of artworks removed]
-
A.
hasArtworksFrom
Indicates that one entity possesses or includes artworks that originate from or are created by another entity.
-
B.
donatedArtwork
Indicates that one entity has given a piece of artwork as a donation to another entity or institution.
-
C.
artIncludes
Indicates that a work of art contains, incorporates, or is composed of another artistic element or component.
-
D.
artworkBy
Indicates that one entity is the creator or artist responsible for producing the other entity as an artwork.
-
E.
associatedWithWorkOfArt
Indicates a relationship in which an entity is connected or related to a specific work of art, such as through creation, contribution, ownership, or contextual association.
- F. None of above. chosen
Provenance (4 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:59 a.m.