Triple
T19299298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bray Hill |
E482650
|
entity |
| Predicate | courseMileMarkerApprox |
P20523
|
FINISHED |
| Object | 0.5 miles from startline |
—
|
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: 0.5 miles from startline | Statement: [Bray Hill, courseMileMarkerApprox, 0.5 miles from startline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courseMileMarkerApprox Context triple: [Bray Hill, courseMileMarkerApprox, 0.5 miles from startline]
-
A.
approximateCourseLength
Indicates an estimated or rough value for the length or duration of a course rather than an exact measurement.
-
B.
courseEndPoint
Indicates the final location or destination at which a course, route, or path terminates.
-
C.
courseLength
Indicates the duration or total length of a course, typically measured in units such as hours, weeks, or credits.
-
D.
approximateMileMarker
chosen
Indicates an estimated or not precisely measured position along a route expressed in miles.
-
E.
distanceOfCourse
Indicates the length or total distance covered by a course or route.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc8852208190ba0337a9623d9bdf |
completed | April 20, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0bc7508190a6f9d56bd4c3404f |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:31 p.m.