Triple
T25032839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dodge SRT-4 |
E626894
|
entity |
| Predicate | quarterMileTime |
P157566
|
FINISHED |
| Object | approximately 14.1 seconds |
—
|
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: approximately 14.1 seconds | Statement: [Dodge SRT-4, quarterMileTime, approximately 14.1 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quarterMileTime Context triple: [Dodge SRT-4, quarterMileTime, approximately 14.1 seconds]
-
A.
recordedSubFourMinuteMile
Indicates that the subject has been officially documented as running a mile in under four minutes.
-
B.
40YardDashTime
Indicates the measured time it takes an entity to complete a 40-yard dash.
-
C.
raceRecordThirds
Indicates that an entity holds or is associated with the third-place record in a particular race or racing event.
-
D.
raceWinningTime_hours
Indicates the duration, measured in hours, that it took the winning participant to complete the race.
-
E.
hourRecordDistance
Indicates that one entity holds or represents the record for the greatest distance covered within a one-hour time period relative to another entity 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_69e2ff2a2c088190be513727ee8bfe78 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44f70b1648190ab00365f89262d73 |
completed | May 1, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f448fe11f08190bdd53ca7ba2d51e4 |
completed | May 1, 2026, 6:32 a.m. |
Created at: April 18, 2026, 6:07 a.m.