Triple
T35402348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joey Gase |
E1023267
|
entity |
| Predicate | carNumberUsedInCupSeries |
P106324
|
FINISHED |
| Object | 53 |
—
|
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: 53 | Statement: [Joey Gase, carNumberUsedInCupSeries, 53]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carNumberUsedInCupSeries Context triple: [Joey Gase, carNumberUsedInCupSeries, 53]
-
A.
carNumberInF1
Indicates the specific racing number assigned to a driver or car in Formula 1 competition.
-
B.
carNumberInWEC
Indicates the specific racing number assigned to a car within the World Endurance Championship (WEC) series.
-
C.
championshipCarNumber
Indicates the specific car number associated with a championship-winning entry in a racing competition.
-
D.
carNumberInFormulaE
Indicates the specific racing car number assigned to a driver or team in Formula E.
-
E.
carNumberUsed
chosen
Indicates that a specific car number has been used or assigned in a given context or event.
- 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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:03 p.m.