Triple
T23013010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danica Patrick |
E572956
|
entity |
| Predicate | bestIndy500FinishPosition |
P82783
|
FINISHED |
| Object | 3rd 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: 3rd place | Statement: [Danica Patrick, bestIndy500FinishPosition, 3rd place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestIndy500FinishPosition Context triple: [Danica Patrick, bestIndy500FinishPosition, 3rd place]
-
A.
bestRaceFinishPositionAchievedByDriver
chosen
Indicates the best (highest-ranking) race finishing position that a particular driver has ever achieved.
-
B.
wonIndianapolis500InYear
Indicates that the subject achieved victory in the Indianapolis 500 automobile race in the specified year.
-
C.
NASCARCupSeriesPoles
Indicates the number of times an entity has earned the pole position (fastest qualifying spot) in NASCAR Cup Series races.
-
D.
NASCARCupSeriesBestPointsFinish
Indicates the highest (best) overall points standing a driver has ever achieved in the NASCAR Cup Series.
-
E.
NASCARCupPoles
Indicates that a subject has achieved one or more pole positions (fastest qualifying times earning the first starting spot) in NASCAR Cup Series races.
- 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.