Triple
T5908755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NASCAR Whelen Modified Tour |
E131407
|
entity |
| Predicate | typicalTrackSurface |
P50583
|
FINISHED |
| Object | asphalt ovals |
—
|
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: asphalt ovals | Statement: [NASCAR Whelen Modified Tour, typicalTrackSurface, asphalt ovals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTrackSurface Context triple: [NASCAR Whelen Modified Tour, typicalTrackSurface, asphalt ovals]
-
A.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
-
B.
hasRaceSurface
chosen
Indicates that an event or activity takes place on, or is associated with, a specific type of race surface.
-
C.
trackType
Indicates the specific kind or category of track associated with an entity, such as its functional or physical classification.
-
D.
surfaceFeatureOf
Indicates that one entity is a surface-level characteristic, pattern, or feature belonging to or present on another entity.
-
E.
notableSurface
Indicates that one entity is a surface or exterior of particular significance or prominence in relation to another entity.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0334fcf6481908e8e74105de9d49b |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:59 p.m.