Triple
T3919922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Streets of Lancaster Grand Prix |
E88932
|
entity |
| Predicate | courseLayout |
P20126
|
FINISHED |
| Object | temporary street course |
—
|
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: temporary street course | Statement: [Streets of Lancaster Grand Prix, courseLayout, temporary street course]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courseLayout Context triple: [Streets of Lancaster Grand Prix, courseLayout, temporary street course]
-
A.
courseStructure
Indicates how a course is organized into its constituent parts, such as modules, units, lessons, and their sequencing or hierarchy.
-
B.
courseShape
chosen
Indicates the geometric layout or configuration that defines the path or outline of a course.
-
C.
courseSetting
Indicates the context or environment in which a course is delivered or conducted.
-
D.
courseStyle
Indicates the manner, format, or pedagogical approach in which a course is delivered or conducted.
-
E.
course
Indicates that an entity is an academic class or unit of instruction offered within an educational program.
- 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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef188b474819087680db42b04ecdd |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee75eedcc81908088ff4dbb8be56b |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:22 p.m.