Triple
T444206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Art of Painting |
E10180
|
entity |
| Predicate | provenanceEvent |
P13265
|
FINISHED |
| Object | once owned by the Habsburg imperial family |
—
|
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: once owned by the Habsburg imperial family | Statement: [The Art of Painting, provenanceEvent, once owned by the Habsburg imperial family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: provenanceEvent Context triple: [The Art of Painting, provenanceEvent, once owned by the Habsburg imperial family]
-
A.
formationEvent
Indicates the event or process through which something comes into existence, is created, or is initially established.
-
B.
attestedFrom
Indicates the earliest point in time or source from which something is documented, recorded, or evidenced as existing or in use.
-
C.
createdAfterEvent
Indicates that the creation of one entity occurred after a specified event in time.
-
D.
dateOfRelatedEvent
Indicates that there is a specific date on which a related event associated with the subject occurs or occurred.
-
E.
preservedAt
Indicates that something is kept, maintained, or conserved in a particular place or context.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef459800819083cd9eef3e7b5295 |
completed | Feb. 28, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69a2edde2b9c8190bd20b582eb4c5065 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeb9e6b0819093863959a6e5730a |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.