Triple
T14235546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cedric Diggory |
E352866
|
entity |
| Predicate | yearLevel |
P52828
|
FINISHED |
| Object | prefect year student |
—
|
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: prefect year student | Statement: [Cedric Diggory, yearLevel, prefect year student]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearLevel Context triple: [Cedric Diggory, yearLevel, prefect year student]
-
A.
schoolYear
chosen
Indicates the academic year or grade level in which an entity (typically a student or class) is situated within an educational system.
-
B.
gradeName
Indicates the specific name or label assigned to a grade level associated with an entity.
-
C.
primaryYearLevel
Indicates the main or principal year level associated with an entity, such as a student, course, or program.
-
D.
orderGradeLevel
Indicates the relative sequencing or ranking of grade levels, specifying which grade comes before or after another.
-
E.
denotesGradeLevel
Indicates that one entity specifies or assigns the educational grade level associated with another entity.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62411c888190a154acd56fe3fcaf |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:07 a.m.