Triple
T34566943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Riding School of Vienna |
E887516
|
entity |
| Predicate | breedsHorsesAt |
P179319
|
FINISHED |
| Object | Piber Federal Stud |
—
|
NE NERFINISHED |
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: Piber Federal Stud | Statement: [Spanish Riding School of Vienna, breedsHorsesAt, Piber Federal Stud]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: breedsHorsesAt Context triple: [Spanish Riding School of Vienna, breedsHorsesAt, Piber Federal Stud]
-
A.
horseBreed
Indicates that one entity is a specific breed of the horse represented by the other entity.
-
B.
notableHorseBred
Indicates that one entity is a notable horse that was bred by the other entity.
-
C.
horseName
Indicates that an entity has the specified name of a horse.
-
D.
ownedRacehorse
Indicates that one entity possessed legal ownership of a particular racehorse.
-
E.
acquiredHorsesFrom
Indicates that one entity obtained ownership or control of horses from another entity, typically through purchase, trade, or transfer.
- 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_69f349d1a5fc81908557a46875b2f157 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f720671b2881909b5f85ea73a7a8fa |
completed | May 3, 2026, 10:16 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: May 1, 2026, 2:02 a.m.