Triple
T36147337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FEI Driving |
E1045486
|
entity |
| Predicate | hasDressageComponent |
P173290
|
FINISHED |
| Object | driven dressage test in arena |
—
|
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: driven dressage test in arena | Statement: [FEI Driving, hasDressageComponent, driven dressage test in arena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDressageComponent Context triple: [FEI Driving, hasDressageComponent, driven dressage test in arena]
-
A.
dressageFeature
chosen
Indicates a relationship where something serves as a characteristic, element, or component of a dressage activity, performance, or discipline.
-
B.
hasRacingDiscipline
Indicates that an entity participates in, is associated with, or is characterized by a specific type or category of racing discipline.
-
C.
hasEquestrianFacility
Indicates that a place or property includes facilities specifically designed for horse-related activities, such as riding, training, or boarding.
-
D.
horseSport
Indicates a relationship where an activity or sport specifically involves the participation or use of horses.
-
E.
hasRacecourseFeature
Indicates that something possesses or includes a specific feature or characteristic related to a racecourse.
- 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:08 p.m.