Triple
T23983977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galleria Riccardiana |
E604579
|
entity |
| Predicate | hasTypeOfWorkInCollection |
P101914
|
FINISHED |
| Object | paintings |
—
|
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: paintings | Statement: [Galleria Riccardiana, hasTypeOfWorkInCollection, paintings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfWorkInCollection Context triple: [Galleria Riccardiana, hasTypeOfWorkInCollection, paintings]
-
A.
hasWorkInCollection
Indicates that a work or item is included as part of a particular collection.
-
B.
hasTypeOfWorkingGroup
Indicates that an entity is associated with or classified under a specific type or category of working group.
-
C.
hasSectionOfWorkType
chosen
Indicates that an entity is associated with a specific type or category of work section it involves or contains.
-
D.
hasRoleInWorkType
Indicates that an entity holds a specific role or function within a particular type or category of work.
-
E.
hasWorksIn
Indicates that one entity is employed by or performs their professional activities within the organization, location, or context represented by another entity.
- 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_69e29543f40c819087700b7a272afb60 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d2c045e081909b70d9aabbe4fdd2 |
completed | April 29, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:31 p.m.