Triple
T22356830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phoenix Raceway |
E552674
|
entity |
| Predicate | backStretchBanking |
P55735
|
FINISHED |
| Object | 9 degrees |
—
|
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: 9 degrees | Statement: [Phoenix Raceway, backStretchBanking, 9 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: backStretchBanking Context triple: [Phoenix Raceway, backStretchBanking, 9 degrees]
-
A.
backstretchBanking
chosen
Indicates a relationship where banking or financial activities are conducted specifically in the context of a racetrack’s backstretch area.
-
B.
frontstretchBanking
Indicates the degree or characteristics of the banking (incline or slope) along the frontstretch portion of a racetrack.
-
C.
trackBanking
Indicates monitoring, recording, or managing banking-related activities or transactions associated with an entity.
-
D.
turnBanking
Indicates that an entity is executing a turning maneuver that involves banking or tilting laterally, typically as part of directional change.
-
E.
bankingModel
Indicates the financial or operational framework under which banking activities, services, and relationships are structured and conducted.
- F. None of above.
Provenance (3 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d08b148190a9a4e445e8579219 |
completed | April 29, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:44 p.m.