Triple
T22800646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darlington Raceway |
E564379
|
entity |
| Predicate | firstSuperspeedwayInNASCAR |
P149761
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Darlington Raceway, firstSuperspeedwayInNASCAR, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSuperspeedwayInNASCAR Context triple: [Darlington Raceway, firstSuperspeedwayInNASCAR, true]
-
A.
firstNASCARRaceHeld
Indicates that the subject entity is the location or event where the first NASCAR race was held.
-
B.
firstNASCARStart
Indicates the event or record marking when an entity (typically a driver) made their first competitive start in a NASCAR race or series.
-
C.
firstNASCARTruckSeriesWin
Indicates the event in which an entity achieves its first victory in a NASCAR Truck Series race.
-
D.
nightRaceIntroduced
Indicates that a race or competition is introduced or held during nighttime conditions.
-
E.
firstNASCARCupSeriesWin
Indicates the event in which an entity (typically a driver) achieves their first victory in a NASCAR Cup Series race.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdc72908190827c9e36a498dc97 |
completed | April 29, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:31 p.m.