Triple
T496161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schirn Kunsthalle Frankfurt |
E10298
|
entity |
| Predicate | hasNoPermanentCollection |
P1817
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Schirn Kunsthalle Frankfurt, hasNoPermanentCollection, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoPermanentCollection Context triple: [Schirn Kunsthalle Frankfurt, hasNoPermanentCollection, true]
-
A.
hasCollection
Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
-
B.
doesNotHave
chosen
Indicates that one entity lacks, is missing, or is not in possession of another entity or attribute.
-
C.
hasCollectionType
Indicates that an entity is associated with or organized under a specific type or category of collection.
-
D.
hasWorkInCollection
Indicates that a work or item is included as part of a particular collection.
-
E.
notHeldDuring
Indicates that a specified condition, event, or relationship does not occur or is not in effect throughout a given time interval or temporal context.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f115334881908ac5ab96c7f4214e |
completed | Feb. 28, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69a2edfa87cc8190a77c726a5a55b7d9 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.