Triple
T9470604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caricatura Museum Frankfurt |
E228378
|
entity |
| Predicate | occupiesBuildingSince |
P41026
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Caricatura Museum Frankfurt, occupiesBuildingSince, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupiesBuildingSince Context triple: [Caricatura Museum Frankfurt, occupiesBuildingSince, 2008]
-
A.
occupiesSince
Indicates that an entity has continuously occupied or held a position, place, or role starting from a specified point in time.
-
B.
occupationDate
Indicates the date or time period during which an entity assumes, holds, or begins a particular role, position, or occupation.
-
C.
buildingUsedSince
chosen
Indicates that a particular building has been in use starting from a specified point in time.
-
D.
occupiesFormerBuilding
Indicates that one entity is currently using or located in a building that was previously used or occupied by another entity.
-
E.
associatedBuildingDate
Indicates the date on which a particular building is formally linked or related to another entity or record.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fee13a88190b4532fb92ddaf401 |
completed | April 1, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69cca55f01b081908dc0f12eaa45f832 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:53 p.m.