Triple
T23125360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dario Franchitti |
E577013
|
entity |
| Predicate | Indianapolis500WinningYear |
P118788
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Dario Franchitti, Indianapolis500WinningYear, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Indianapolis500WinningYear Context triple: [Dario Franchitti, Indianapolis500WinningYear, 2007]
-
A.
bestIndy500FinishYear
Indicates the year in which an entity achieved its best (highest) finishing position in the Indianapolis 500 race.
-
B.
wonIndianapolis500InYear
chosen
Indicates that the subject achieved victory in the Indianapolis 500 automobile race in the specified year.
-
C.
Daytona500Wins
Indicates that the subject has won the Daytona 500 race the specified number of times or in the specified instances.
-
D.
firstIndyCarWin
Indicates that the subject achieved their first victory in an IndyCar race.
-
E.
includedIndianapolis500
Indicates that an event, season, or competition schedule contained the Indianapolis 500 race as one of its components.
- 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_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. |
Created at: April 17, 2026, 3:59 p.m.