Triple
T27957427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landesminister |
E703588
|
entity |
| Predicate | istZeitlichBelegtSeit |
P2451
|
FINISHED |
| Object | 19. Jahrhundert |
—
|
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: 19. Jahrhundert | Statement: [Landesminister, istZeitlichBelegtSeit, 19. Jahrhundert]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: istZeitlichBelegtSeit Context triple: [Landesminister, istZeitlichBelegtSeit, 19. Jahrhundert]
-
A.
occupiedUntil
Indicates that an entity remains in use or unavailable up to a specified end time.
-
B.
inUseSince
chosen
Indicates that an entity has been actively in use starting from a specified point in time.
-
C.
occupiedFrom
Indicates that an entity is in use or inhabited starting from a specified point in time.
-
D.
wasOccupiedDuring
Indicates that an entity was under the control, presence, or use of another entity throughout a specified time period.
-
E.
inStateSince
Indicates that an entity has been in a particular state continuously starting from a specified point in time.
- 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_69ef840c8b2c8190946ae9522774ba51 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63b00473c8190b718fe3d0a717e32 |
completed | May 2, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 7:29 p.m.