Triple
T37243148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Greensboro Open |
E923769
|
entity |
| Predicate | playedAtCourseType |
P194397
|
FINISHED |
| Object | private country club |
—
|
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: private country club | Statement: [Greater Greensboro Open, playedAtCourseType, private country club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedAtCourseType Context triple: [Greater Greensboro Open, playedAtCourseType, private country club]
-
A.
playedOnCourse
Indicates that an entity (typically a player or team) participated in a game, match, or round that took place on a specific course.
-
B.
hasParCourse
Indicates that an entity is associated with, or includes, a specific par course (an exercise or fitness trail with designated stations).
-
C.
hasCoursePar
Indicates that one course is a parent or higher-level course in relation to another course, such as a prerequisite or overarching course.
-
D.
playedAtLevel
Indicates that an entity participated or performed in an activity, event, or game at a specified level of difficulty, competition, or hierarchy.
-
E.
playedProfessionalFrom
Indicates that an individual played professional-level sports for a particular team or organization starting from a specified time.
- F. None of above. chosen
Provenance (4 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_69f76ea9fee88190a589f661d95a7189 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
| PDg | Predicate description generation | batch_69fd6dbc3ac0819093fbcfe95f12b93d |
completed | May 8, 2026, 4:59 a.m. |
Created at: May 3, 2026, 4:15 p.m.