Triple
T13100794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Suárez |
E310710
|
entity |
| Predicate | firstXfinityWin |
P108060
|
FINISHED |
| Object | 2016 at Michigan International Speedway |
—
|
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: 2016 at Michigan International Speedway | Statement: [Daniel Suárez, firstXfinityWin, 2016 at Michigan International Speedway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstXfinityWin Context triple: [Daniel Suárez, firstXfinityWin, 2016 at Michigan International Speedway]
-
A.
firstNASCARCupSeriesWin
Indicates the event in which an entity (typically a driver) achieves their first victory in a NASCAR Cup Series race.
-
B.
firstNASCARTruckSeriesWin
Indicates the event in which an entity achieves its first victory in a NASCAR Truck Series race.
-
C.
NASCARXfinitySeriesWins
Indicates the number of races a driver has won in the NASCAR Xfinity Series.
-
D.
firstNASCARBuschSeriesWin
Indicates the event in which an entity achieves its first victory in a NASCAR Busch Series race.
-
E.
firstFormulaOneWin
Indicates that the subject achieved their first victory in a Formula One race in relation to the specified event or context.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981515d488190908d3cca1b84a42d |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98134df64819084a5674f9475dcc2 |
completed | April 10, 2026, 11:01 p.m. |
Created at: April 9, 2026, 9:04 p.m.