Triple
T17139015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cowgirls |
E415913
|
entity |
| Predicate | crossCountryCourse |
P35585
|
FINISHED |
| Object | Jacoby Golf Course cross country 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: Jacoby Golf Course cross country course | Statement: [Cowgirls, crossCountryCourse, Jacoby Golf Course cross country course]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crossCountryCourse Context triple: [Cowgirls, crossCountryCourse, Jacoby Golf Course cross country course]
-
A.
crossCountryNationalChampionships
Indicates that an entity has won or holds national championship titles in cross-country competition.
-
B.
crossCountryCourseNotableFor
chosen
Indicates that a cross-country course is distinguished or recognized for a particular feature, quality, or characteristic.
-
C.
crossCountrySkiingVenue
Indicates that a location serves as a venue or site where cross-country skiing activities or events take place.
-
D.
hasSkiRaceCourse
Indicates that an entity includes, contains, or is associated with a designated ski race course.
-
E.
parOfChampionshipCourse
Indicates that one entity is a part or segment of a championship course associated with another entity.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d1277881909325ffd2a7aa4873 |
completed | April 18, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.