Triple
T35123474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Up! |
E1014228
|
entity |
| Predicate | numberOfMainSubjects |
P101171
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [Seven Up!, numberOfMainSubjects, 14]
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 (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_69f76dd8b6948190aaa32b081816bd94 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.