Triple
T21042251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madurese bull racing |
E518354
|
entity |
| Predicate | jockeyPosition |
P88193
|
FINISHED |
| Object | standing on sled |
—
|
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: standing on sled | Statement: [Madurese bull racing, jockeyPosition, standing on sled]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jockeyPosition Context triple: [Madurese bull racing, jockeyPosition, standing on sled]
-
A.
positionOnRace
Indicates the relative ranking or placement an entity holds within the context of a race or competitive event.
-
B.
polePositions
Indicates that one entity holds the pole position (starting first) relative to another entity in a competitive event, such as a race.
-
C.
ridingPosition
chosen
Indicates the relative physical placement or posture of an entity while it is riding or being carried by another entity.
-
D.
railPosition
Indicates the relative location or alignment of something with respect to a rail or set of rails.
-
E.
trainPosition
Indicates the spatial location or coordinates of a train along its route or track at a given time.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf0b27881909d1c5b58be387a74 |
completed | April 21, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf6728881908a2a43a5c8804a2a |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:15 p.m.