Triple
T1491556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minneapolis Institute of Art |
E29590
|
entity |
| Predicate | collectionCoverage |
P17067
|
FINISHED |
| Object | Asian art |
—
|
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: Asian art | Statement: [Minneapolis Institute of Art, collectionCoverage, Asian art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectionCoverage Context triple: [Minneapolis Institute of Art, collectionCoverage, Asian art]
-
A.
regionCoverage
Indicates that one entity geographically spans, includes, or serves the area defined by another entity.
-
B.
mapCoverage
Indicates the extent or area that is represented, covered, or included by a particular map.
-
C.
eraCovered
Indicates that one entity temporally encompasses, includes, or spans the historical period or era associated with another entity.
-
D.
reignCoverage
Indicates the temporal span or extent over which a ruler’s reign or authority is in effect.
-
E.
collectionScope
chosen
Indicates the extent, boundaries, or range over which a collection (such as a set of items, data, or resources) is defined or intended to apply.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c3ace4819081bc2b86ee2486b6 |
completed | March 1, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69a4c48902808190a8028d359bcf123e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.