Triple
T4334499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kruizenga Art Museum |
E97431
|
entity |
| Predicate | hasCollectionCharacteristic |
P274
|
FINISHED |
| Object | diverse collection |
—
|
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: diverse collection | Statement: [Kruizenga Art Museum, hasCollectionCharacteristic, diverse collection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollectionCharacteristic Context triple: [Kruizenga Art Museum, hasCollectionCharacteristic, diverse collection]
-
A.
hasCollection
Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
-
B.
hasCharacteristic
chosen
Indicates that an entity possesses, exhibits, or is defined by a particular attribute, feature, or quality.
-
C.
hasCollectionType
Indicates that an entity is associated with or organized under a specific type or category of collection.
-
D.
isCollectionOf
Indicates that one entity is a group or aggregate composed of multiple instances or elements of another entity.
-
E.
hasCollectionFrom
Indicates that an entity possesses or maintains a collection that originates from, or is sourced from, another specified 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351516d488190b5b3d1936e3a325d |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:14 p.m.