Triple
T16956003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bank of America Roval 400 |
E411302
|
entity |
| Predicate | usesOvalTurns |
P125379
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bank of America Roval 400, usesOvalTurns, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesOvalTurns Context triple: [Bank of America Roval 400, usesOvalTurns, true]
-
A.
turnsOnOval
Indicates that one entity activates or switches on an oval-shaped object or feature.
-
B.
turningCircle
Indicates the radius or size of the circular path an object follows when it turns, typically reflecting how tightly it can change direction.
-
C.
usesBallShape
Indicates that one entity employs or incorporates a ball-like (spherical) shape in its form, design, or operation.
-
D.
hasInfieldOval
Indicates that one entity possesses or includes an oval-shaped infield area as part of its structure or layout.
-
E.
hasCircle
Indicates that one entity possesses, contains, or includes a circle as part of its structure or composition.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01bb700819082a441c124be3cb6 |
completed | April 18, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e355722040819098830dabf207ecd6 |
completed | April 18, 2026, 9:57 a.m. |
Created at: April 10, 2026, 5:31 a.m.