Triple
T37868879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cog Hill Golf and Country Club |
E944550
|
entity |
| Predicate | DubsdreadCourseNumber |
P78647
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Cog Hill Golf and Country Club, DubsdreadCourseNumber, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DubsdreadCourseNumber Context triple: [Cog Hill Golf and Country Club, DubsdreadCourseNumber, 4]
-
A.
BearTrapCourse
Indicates a course or path that is hazardous or deceptive, functioning like a bear trap by luring entities into a situation that is difficult or harmful to escape.
-
B.
BlueMonsterCourseKnownFor
Indicates that a course is recognized or notable for its association with the Blue Monster.
-
C.
courseNumber
chosen
Indicates the specific numeric identifier assigned to a course within an educational curriculum or catalog.
-
D.
courseNumberInCup
Indicates that a specific course or round in a sequence of events is taking place within a particular cup or cup-based context.
-
E.
تذكر وصف العذاب
Indicates mentioning or recalling a description of the torment or punishment.
- 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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.