Triple
T37691645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme Court of Justice of Austria |
E938819
|
entity |
| Predicate | buildingStyleOfSeat |
P16768
|
FINISHED |
| Object | historicist architecture |
—
|
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: historicist architecture | Statement: [Supreme Court of Justice of Austria, buildingStyleOfSeat, historicist architecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingStyleOfSeat Context triple: [Supreme Court of Justice of Austria, buildingStyleOfSeat, historicist architecture]
-
A.
architecturalStyleOfSeat
chosen
Indicates the architectural style that characterizes a particular seat or seating structure.
-
B.
seatStructure
Indicates that one entity serves as the structural or physical seating component or arrangement associated with another entity.
-
C.
buildingStyleOfChamber
Indicates the architectural style or design type associated with a particular chamber.
-
D.
architectOfSeat
Indicates that an entity serves as the architect responsible for the design of a particular seat (e.g., a legislative seat, position, or designated place).
-
E.
buildingStartOfSeat
Indicates that a building serves as the starting location or origin point for a seat (e.g., a seating area or assigned seat).
- 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_69f76eda6ae48190b3111071eeacc038 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.