Triple
T32040254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Petty Motorsports |
E818200
|
entity |
| Predicate | associatedTrackType |
P3832
|
FINISHED |
| Object | oval track |
—
|
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: oval track | Statement: [Richard Petty Motorsports, associatedTrackType, oval track]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedTrackType Context triple: [Richard Petty Motorsports, associatedTrackType, oval track]
-
A.
associatedWithTrack
Indicates a relationship in which an entity is linked or connected to a specific track, such as being part of, derived from, or relevant to that track.
-
B.
trackType
chosen
Indicates the specific kind or category of track associated with an entity, such as its functional or physical classification.
-
C.
composedTrackType
Indicates that one entity is a track whose type or category is defined or characterized by another entity.
-
D.
containsTrackType
Indicates that one entity includes or is associated with a specific type or category of track.
-
E.
associatedEventType
Indicates that one entity is linked to another by the type or category of event with which it is associated.
- 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_69f348fbc8148190b3c0f95d4772b153 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:19 a.m.