Triple
T35330832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trackhouse Racing Team |
E1020310
|
entity |
| Predicate | hasCarNumberDriver |
P118368
|
FINISHED |
| Object | 1 – Ross Chastain |
—
|
NE NERFINISHED |
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: 1 – Ross Chastain | Statement: [Trackhouse Racing Team, hasCarNumberDriver, 1 – Ross Chastain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCarNumberDriver Context triple: [Trackhouse Racing Team, hasCarNumberDriver, 1 – Ross Chastain]
-
A.
hasCarNumberPreviously
Indicates that an entity has been associated with a specific car number at some earlier time before the current context.
-
B.
droveCarNumber
Indicates that a person operated or was driving a specific car identified by its number.
-
C.
carNumberUsed
Indicates that a specific car number has been used or assigned in a given context or event.
-
D.
hasAIDrivers
Indicates that an entity possesses or is equipped with AI-based drivers that control or operate it.
-
E.
hasPrimaryDriver
chosen
Indicates that an entity is designated as the main or principal driver responsible for operating another entity, typically a vehicle.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff90b673248190b4dda9e005642d17 |
completed | May 9, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69ff8d5bee1081909274052945e98a6f |
completed | May 9, 2026, 7:39 p.m. |
Created at: May 3, 2026, 4:03 p.m.