Triple
T16882825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Class, Second Grade |
E421462
|
entity |
| Predicate | gradeNumberWithinClass |
P7842
|
FINISHED |
| Object | second grade |
—
|
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: second grade | Statement: [Third Class, Second Grade, gradeNumberWithinClass, second grade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradeNumberWithinClass Context triple: [Third Class, Second Grade, gradeNumberWithinClass, second grade]
-
A.
gradeNumber
chosen
Indicates the numerical grade or level assigned to an entity within an ordered grading or classification system.
-
B.
gradeWithin
Indicates that one value’s grade or level falls within a specified range or interval relative to another.
-
C.
gradeIn
Indicates that an entity has a particular grade or score within a specified course, assignment, or evaluation context.
-
D.
gradeCategory
Indicates the classification of a grade into a broader category or level (such as letter grade, performance band, or pass/fail group).
-
E.
gradeCount
Indicates the number of grades associated with a given entity or context.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbbdffd8819093f1efd91f6d49dc |
completed | April 18, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69e32b90ec3c819099c51bb7baf2984c |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.