Triple
T35123474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Up! |
E1014228
|
entity |
| Predicate | numberOfMainSubjects |
—
|
GENERATED |
| Object | 14 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMainSubjects Context triple: [Seven Up!, numberOfMainSubjects, 14]
-
A.
subjectCount
chosen
Indicates the number of subjects associated with or involved in a given entity or context.
-
B.
subjectNumber
Indicates the numerical identifier or count associated with the subject in the relationship.
-
C.
numberOfMainElements
Indicates the quantity of primary or central elements associated with an entity or structure.
-
D.
numberOfCourses
Indicates the quantity of courses associated with a given entity.
-
E.
hasFiveMainGrades
Indicates that an entity is characterized or evaluated using a system consisting of five primary grades or levels.
- F. None of above.
Provenance (1 batch)
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_69f76dd8b6948190aaa32b081816bd94 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:01 p.m.