Triple
T938582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Mansion |
E20252
|
entity |
| Predicate | hasInteriorDecoration |
P6655
|
FINISHED |
| Object | murals by Giuseppe Guidicini |
—
|
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: murals by Giuseppe Guidicini | Statement: [Victoria Mansion, hasInteriorDecoration, murals by Giuseppe Guidicini]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInteriorDecoration Context triple: [Victoria Mansion, hasInteriorDecoration, murals by Giuseppe Guidicini]
-
A.
interiorStyle
Indicates that one entity has a particular interior design style or aesthetic characterized by the other entity.
-
B.
hasInteriorFeature
chosen
Indicates that an entity contains or includes a specific feature within its interior space.
-
C.
decoration
Indicates that one entity serves as an ornament or embellishing element for another entity, enhancing its appearance or style.
-
D.
decorations
Indicates that one entity adds, provides, or serves as ornamental or decorative elements for another entity.
-
E.
hasDomeDecoration
Indicates that an entity’s dome is adorned with specific decorative elements or ornamentation.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b38a3ad4819080d71849e822a12a |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b29c68f48190aecad10e351a99de |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.