Triple
T30212282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Graz-Seckau |
E768099
|
entity |
| Predicate | seatTransferCentury |
P168985
|
FINISHED |
| Object | 18th century |
—
|
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: 18th century | Statement: [Diocese of Graz-Seckau, seatTransferCentury, 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatTransferCentury Context triple: [Diocese of Graz-Seckau, seatTransferCentury, 18th century]
-
A.
seatGrantedBy
Indicates that a position, seat, or place (e.g., in a body or venue) is conferred or allocated to someone or something by a specific granting authority or entity.
-
B.
seatOn
Indicates that one entity is positioned or placed on a seat or seating surface associated with another entity.
-
C.
seatNumber
Indicates the specific numbered position assigned to a seat within a defined seating arrangement or venue.
-
D.
hasChangingCabins
Indicates that something provides or includes designated cabins or rooms intended for changing clothes.
-
E.
seatManagedBy
Indicates that the responsibility for overseeing, controlling, or administering a particular seat is assigned to a specific managing entity.
- F. None of above. chosen
Provenance (4 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_69f2247eb0848190b4032f302d39c0d9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67ff185488190a49b208e4ac6cf59 |
completed | May 2, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 29, 2026, 7:33 p.m.