Triple
T30689031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owen-Spalding route |
E781267
|
entity |
| Predicate | overallGrade |
P60257
|
FINISHED |
| Object | mostly Class 3–4 with short Class 5 sections |
—
|
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: mostly Class 3–4 with short Class 5 sections | Statement: [Owen-Spalding route, overallGrade, mostly Class 3–4 with short Class 5 sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overallGrade Context triple: [Owen-Spalding route, overallGrade, mostly Class 3–4 with short Class 5 sections]
-
A.
gradeIn
Indicates that an entity has a particular grade or score within a specified course, assignment, or evaluation context.
-
B.
grades
Indicates that one entity evaluates and assigns a score or level of performance to another entity.
-
C.
gradeWithin
chosen
Indicates that one value’s grade or level falls within a specified range or interval relative to another.
-
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.
grading
Indicates that one entity is evaluating, scoring, or assigning a quality level to another entity based on specific criteria.
- 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_69f224a92f54819095499b4d32bd5134 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b867934819084ed0f079eb81c99 |
completed | May 2, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:33 p.m.