Triple
T34566949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Riding School of Vienna |
E887516
|
entity |
| Predicate | performsMovements |
P183542
|
FINISHED |
| Object | airs above the ground |
—
|
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: airs above the ground | Statement: [Spanish Riding School of Vienna, performsMovements, airs above the ground]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performsMovements Context triple: [Spanish Riding School of Vienna, performsMovements, airs above the ground]
-
A.
mainPerformerMovement
chosen
Indicates the type or pattern of movement performed by the primary performer in an event or performance.
-
B.
suppliedMovementsTo
Indicates that one entity provided or delivered movements (such as mechanical or operational components) to another entity.
-
C.
haveMovementFor
Indicates that an entity exhibits or is assigned a specific type or pattern of movement in relation to another entity or context.
-
D.
numberOfMovements
Indicates the total count of distinct movements or motion events associated with the given entity or context.
-
E.
outerMovements
Indicates movements or actions that occur externally or on the outside of a primary object, area, or boundary.
- 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_69f349d1a5fc81908557a46875b2f157 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fed6da0390819096b88ef4714b144e |
completed | May 9, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69fed53517d081909966f31707625f1a |
completed | May 9, 2026, 6:33 a.m. |
Created at: May 1, 2026, 2:02 a.m.