Triple
T8040363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum Ludwig |
E187420
|
entity |
| Predicate | hasOneOfLargestCollectionsOf |
P25033
|
FINISHED |
| Object | Picasso works in Europe |
—
|
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: Picasso works in Europe | Statement: [Museum Ludwig, hasOneOfLargestCollectionsOf, Picasso works in Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOneOfLargestCollectionsOf Context triple: [Museum Ludwig, hasOneOfLargestCollectionsOf, Picasso works in Europe]
-
A.
knownForCollectionOf
Indicates that one entity is recognized or notable specifically for its collection or assemblage of another type of entity.
-
B.
collectionBuiltAround
Indicates that a collection is organized, structured, or conceptually centered around a particular core item, theme, or entity.
-
C.
largestKnownMembers
Indicates that the related entities are the largest known members within a specified group, category, or set.
-
D.
isMajorCollectionOf
chosen
Indicates that one entity serves as the primary or most significant collection or grouping of another entity.
-
E.
areLargestGroupIn
Indicates that one group is the biggest or most numerous among all groups within a specified context or set.
- 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_69ca82b00cb48190b59a300f70e97bd7 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f1d62c48190bf4a6cd17517c5dc |
completed | March 31, 2026, 3:27 a.m. |
| PD | Predicate disambiguation | batch_69cb049688208190b32088bd2c5930bc |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:23 p.m.