Triple
T35330893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 at Phoenix International Raceway |
E1020312
|
entity |
| Predicate | firstCareerTruckSeriesWinFor |
P105800
|
FINISHED |
| Object | Daniel Suárez |
E310710
|
NE 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: Daniel Suárez | Statement: [2016 at Phoenix International Raceway, firstCareerTruckSeriesWinFor, Daniel Suárez]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCareerTruckSeriesWinFor Context triple: [2016 at Phoenix International Raceway, firstCareerTruckSeriesWinFor, Daniel Suárez]
-
A.
firstNASCARTruckSeriesWin
chosen
Indicates the event in which an entity achieves its first victory in a NASCAR Truck Series race.
-
B.
firstNASCARCupSeriesWin
Indicates the event in which an entity (typically a driver) achieves their first victory in a NASCAR Cup Series race.
-
C.
NASCARTruckSeriesWins
Indicates the number of race victories an entity has achieved in NASCAR Truck Series competitions.
-
D.
firstXfinityWin
Indicates that an entity achieves its first victory in an Xfinity Series event.
-
E.
startedNASCARCupSeriesCareer
Indicates that an entity began their professional career in the NASCAR Cup Series.
- F. None of above.
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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3852d688748190ab7d4f9845119e2a |
completed | June 21, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.