Triple
T18915326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homestead-Miami Speedway |
E462709
|
entity |
| Predicate | bankingBackStretchDegrees |
P55735
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Homestead-Miami Speedway, bankingBackStretchDegrees, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bankingBackStretchDegrees Context triple: [Homestead-Miami Speedway, bankingBackStretchDegrees, 4]
-
A.
backstretchBanking
chosen
Indicates a relationship where banking or financial activities are conducted specifically in the context of a racetrack’s backstretch area.
-
B.
cylindersBankAngle
Indicates the angle at which the cylinders in an engine are arranged or inclined relative to the engine’s central bank or reference plane.
-
C.
frontstretchBanking
Indicates the degree or characteristics of the banking (incline or slope) along the frontstretch portion of a racetrack.
-
D.
supportsAngleModes
Indicates that one entity provides functionality for handling or operating in multiple angle measurement modes (such as degrees, radians, or gradians) for another entity or context.
-
E.
depictionAngle
Indicates the angle or viewpoint from which something is visually depicted or represented.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c62685408190b17280147e1c247a |
completed | April 20, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.