Triple
T5708801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte Motor Speedway |
E125852
|
entity |
| Predicate | turnsOnOval |
P65714
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Charlotte Motor Speedway, turnsOnOval, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turnsOnOval Context triple: [Charlotte Motor Speedway, turnsOnOval, 4]
-
A.
hasInfieldOval
Indicates that one entity possesses or includes an oval-shaped infield area as part of its structure or layout.
-
B.
isOnOuterCircle
Indicates that one entity is positioned on the outer boundary or perimeter of a circular arrangement relative to another entity or reference point.
-
C.
hasTriOvalLength
Indicates that an entity has a specified length measurement associated with a tri-oval (three-turn oval) configuration.
-
D.
isOn
Indicates that one entity is physically positioned above and in contact with the top surface of another entity.
-
E.
circleType
Indicates the specific classification or category of a circle within a given context or system.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248ab6a88190be17bdc32c36e5cb |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021c2d8bc8190b947c7d1f423d2f3 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c023dfec6881909ee6189b874b4348 |
completed | March 22, 2026, 5:16 p.m. |
Created at: March 22, 2026, 3:46 p.m.