Triple
T1338075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asian Pavilion |
E28399
|
entity |
| Predicate | partOfCollectionType |
P1925
|
FINISHED |
| Object | Asian collection of the Rijksmuseum |
—
|
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 collection of the Rijksmuseum | Statement: [Asian Pavilion, partOfCollectionType, Asian collection of the Rijksmuseum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfCollectionType Context triple: [Asian Pavilion, partOfCollectionType, Asian collection of the Rijksmuseum]
-
A.
partOfCollection
chosen
Indicates that an entity belongs to, or is included within, a larger collection or set.
-
B.
isPartOfType
Indicates that one type or category is a constituent or subset within a larger, encompassing type or category.
-
C.
partCType
Indicates that an entity is classified as a specific subtype or category of a larger part or component.
-
D.
partOfWorkType
Indicates that something is a component, subtype, or specific category within a broader type of work.
-
E.
partAType
Indicates that one entity specifies or denotes the type or category of a particular part (part A) in relation to 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c2115d388190b031ae2de1296f8a |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef174708190a07bbc697fe19a2d |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.