Triple
T34550185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Course 1st tee |
E887039
|
entity |
| Predicate | courseYardageApprox |
P150205
|
FINISHED |
| Object | 376 yards |
—
|
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: 376 yards | Statement: [Old Course 1st tee, courseYardageApprox, 376 yards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courseYardageApprox Context triple: [Old Course 1st tee, courseYardageApprox, 376 yards]
-
A.
hasYardage
Indicates that something possesses or is associated with a specific measured distance or length, typically expressed in yards.
-
B.
turfCourseDistance
Indicates the distance over which an event or action occurs on a turf (grass) course.
-
C.
golfCourseLength
chosen
Indicates the measured distance or extent of a golf course, typically from tee to hole or across the full course layout.
-
D.
distanceOfCourse
Indicates the length or total distance covered by a course or route.
-
E.
hasStraightCourseDistance
Indicates that a route or path has a specified distance measured along its straight, unobstructed course.
- 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_69f349cff89081908f91e0b064f4833e |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f727bde8f88190ad746ca515134ca1 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72739c30c81908642eef3feb3afcf |
completed | May 3, 2026, 10:45 a.m. |
Created at: May 1, 2026, 2:02 a.m.