Triple
T15594743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Really Rosie |
E374858
|
entity |
| Predicate | equineDiscipline |
P108046
|
FINISHED |
| Object | flat racing |
—
|
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: flat racing | Statement: [Really Rosie, equineDiscipline, flat racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equineDiscipline Context triple: [Really Rosie, equineDiscipline, flat racing]
-
A.
horseSport
Indicates a relationship where an activity or sport specifically involves the participation or use of horses.
-
B.
hasEquestrianFacility
Indicates that a place or property includes facilities specifically designed for horse-related activities, such as riding, training, or boarding.
-
C.
horseBreed
Indicates that one entity is a specific breed of the horse represented by the other entity.
-
D.
typeOfRodeo
Indicates the specific kind or category of rodeo event that something belongs to.
-
E.
hasRacingDiscipline
chosen
Indicates that an entity participates in, is associated with, or is characterized by a specific type or category of racing discipline.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e5f9db8819083abf80f01f32b3d |
completed | April 16, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:12 a.m.