Triple
T23013012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danica Patrick |
E572956
|
entity |
| Predicate | bestDaytona500FinishPosition |
P82783
|
FINISHED |
| Object | 8th place |
—
|
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: 8th place | Statement: [Danica Patrick, bestDaytona500FinishPosition, 8th place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestDaytona500FinishPosition Context triple: [Danica Patrick, bestDaytona500FinishPosition, 8th place]
-
A.
driverIn2023Daytona500Win
Indicates that the subject was the winning driver in the 2023 Daytona 500 race.
-
B.
yearOfDaytona500Win
Indicates the specific year in which an entity won the Daytona 500 race.
-
C.
NASCARCupSeriesBestPointsFinish
Indicates the highest (best) overall points standing a driver has ever achieved in the NASCAR Cup Series.
-
D.
Daytona500Wins
Indicates that the subject has won the Daytona 500 race the specified number of times or in the specified instances.
-
E.
bestRaceFinishPositionAchievedByDriver
chosen
Indicates the best (highest-ranking) race finishing position that a particular driver has ever achieved.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e300008190bb12c6388a8b3280 |
completed | April 29, 2026, 4:06 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:51 p.m.