Triple
T24739351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlanta Motor Speedway |
E618507
|
entity |
| Predicate | bankingAfter2022Reconfiguration |
P157219
|
FINISHED |
| Object | 28 degrees in turns |
—
|
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: 28 degrees in turns | Statement: [Atlanta Motor Speedway, bankingAfter2022Reconfiguration, 28 degrees in turns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bankingAfter2022Reconfiguration Context triple: [Atlanta Motor Speedway, bankingAfter2022Reconfiguration, 28 degrees in turns]
-
A.
bankingAfter1997Reconfiguration
Indicates that the banking relationship or structure occurs after the 1997 reconfiguration event or restructuring.
-
B.
bankingModel
Indicates the financial or operational framework under which banking activities, services, and relationships are structured and conducted.
-
C.
bankingType
Indicates the category or model of banking relationship or services associated with an entity (e.g., retail, corporate, investment).
-
D.
turnBanking
Indicates that an entity is executing a turning maneuver that involves banking or tilting laterally, typically as part of directional change.
-
E.
hasBanking
Indicates that one entity provides or is associated with banking services or facilities for another entity.
- 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_69e2fab8f95c81908bb9e552cf3280c2 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f422add8508190a76e56cfa756eeb8 |
completed | May 1, 2026, 3:49 a.m. |
Created at: April 18, 2026, 4:04 a.m.