Triple
T23125353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dario Franchitti |
E577013
|
entity |
| Predicate | numberOfIndyCarSeriesChampionships |
P151014
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Dario Franchitti, numberOfIndyCarSeriesChampionships, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfIndyCarSeriesChampionships Context triple: [Dario Franchitti, numberOfIndyCarSeriesChampionships, 4]
-
A.
NASCARCupSeriesWins
Indicates the number of NASCAR Cup Series races that a given driver, team, or entity has won.
-
B.
tiedOnNASCARCupSeriesChampionshipsWith
Indicates that two entities have achieved the same number of NASCAR Cup Series championships.
-
C.
bestIndy500FinishYear
Indicates the year in which an entity achieved its best (highest) finishing position in the Indianapolis 500 race.
-
D.
worldDriversChampionCarNumber
Indicates the car number driven by the Formula 1 World Drivers' Champion in a given season.
-
E.
Daytona500Wins
Indicates that the subject has won the Daytona 500 race the specified number of times or in the specified instances.
- F. None of above. chosen
Provenance (4 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e53ac288190b27fe8064fb576c2 |
completed | April 29, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:59 p.m.