Triple
T223028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rijksmuseum |
E4257
|
entity |
| Predicate | numberOfObjectsOnDisplay |
P425
|
FINISHED |
| Object | around 8,000 |
—
|
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: around 8,000 | Statement: [Rijksmuseum, numberOfObjectsOnDisplay, around 8,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfObjectsOnDisplay Context triple: [Rijksmuseum, numberOfObjectsOnDisplay, around 8,000]
-
A.
collectionSize
chosen
Indicates the total number of items contained within a specified collection.
-
B.
numberOfExhibits
Indicates the total count of exhibits associated with a given entity or context.
-
C.
hasNumberOfScreens
Indicates the quantity of screens associated with or contained in a given entity.
-
D.
numberOfFiguresDepicted
Indicates the total count of distinct figures shown within a given depiction or representation.
-
E.
numberOfChildren
Indicates the total count of children that an entity has.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c705fd88190bfee7f5e1f7cee17 |
completed | Feb. 28, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69a25b5617788190814358aee3f7ae37 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.