Triple
T19843042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnold Palmer |
E476783
|
entity |
| Predicate | courseDesignerOf |
P26143
|
FINISHED |
| Object | numerous golf courses worldwide |
—
|
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: numerous golf courses worldwide | Statement: [Arnold Palmer, courseDesignerOf, numerous golf courses worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courseDesignerOf Context triple: [Arnold Palmer, courseDesignerOf, numerous golf courses worldwide]
-
A.
courseDesigner
chosen
Indicates that one entity is responsible for creating, planning, or structuring the content and format of a course for another entity.
-
B.
isCourse
Indicates that an entity functions as or qualifies as a course within a given context or system.
-
C.
roleAtDesignAcademyEindhoven
Indicates that an entity holds or has held a specific role or position at the Design Academy Eindhoven.
-
D.
courseCup
Indicates that a particular cup is used for or associated with serving a specific course in a meal.
-
E.
courseClass
Indicates that a particular course is classified as belonging to a specific academic class or category.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65806ea888190850421154238d91c |
completed | April 20, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.