Triple
T19310566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kunstmuseum Liechtenstein |
E482953
|
entity |
| Predicate | hasCollectionIncludes |
P10826
|
FINISHED |
| Object | sculpture |
—
|
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: sculpture | Statement: [Kunstmuseum Liechtenstein, hasCollectionIncludes, sculpture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollectionIncludes Context triple: [Kunstmuseum Liechtenstein, hasCollectionIncludes, sculpture]
-
A.
hasCollection
Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
-
B.
hasCollectionItemBy
chosen
Indicates that an entity possesses or includes a specific item as part of its collection, identified or referenced by some key or identifier.
-
C.
hasCollectionAt
Indicates that a collection or gathering of items, data, or resources is located, stored, or maintained at a specific place or context.
-
D.
hasCollectionFrom
Indicates that an entity possesses or maintains a collection that originates from, or is sourced from, another specified entity.
-
E.
isCollectionOf
Indicates that one entity is a group or aggregate composed of multiple instances or elements of 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604cd270c819094fd2faa0681d2ad |
completed | April 20, 2026, 10:49 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:32 p.m.