Triple
T21691120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medinah Country Club |
E535370
|
entity |
| Predicate | course3Type |
P7752
|
FINISHED |
| Object | championship 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: championship course | Statement: [Medinah Country Club, course3Type, championship course]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: course3Type Context triple: [Medinah Country Club, course3Type, championship course]
-
A.
courseType
chosen
Indicates the classification or category of a course based on its nature, level, or instructional format.
-
B.
course
Indicates that an entity is an academic class or unit of instruction offered within an educational program.
-
C.
courseCup
Indicates that a particular cup is used for or associated with serving a specific course in a meal.
-
D.
courseClass
Indicates that a particular course is classified as belonging to a specific academic class or category.
-
E.
courseShape
Indicates the geometric layout or configuration that defines the path or outline of a 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_69e0c46a6ee481908836e1420fb78c9b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96cfaab08190b400e1538afc8c43 |
completed | April 27, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:45 p.m.