Triple
T23013011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danica Patrick |
E572956
|
entity |
| Predicate | bestIndy500FinishYear |
P150662
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Danica Patrick, bestIndy500FinishYear, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestIndy500FinishYear Context triple: [Danica Patrick, bestIndy500FinishYear, 2009]
-
A.
wonIndianapolis500InYear
Indicates that the subject achieved victory in the Indianapolis 500 automobile race in the specified year.
-
B.
lastIndyCarRaceYear
Indicates the year in which an entity participated in or held its most recent IndyCar race.
-
C.
includedIndianapolis500
Indicates that an event, season, or competition schedule contained the Indianapolis 500 race as one of its components.
-
D.
firstIndyCarWin
Indicates that the subject achieved their first victory in an IndyCar race.
-
E.
NASCARCupSeriesBestPointsFinish
Indicates the highest (best) overall points standing a driver has ever achieved in the NASCAR Cup Series.
- 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_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. |
| PDg | Predicate description generation | batch_69ef538b29c081908fa56ee35a1dcee7 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:51 p.m.