Triple
T29492719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vernon Independent School District |
E748122
|
entity |
| Predicate | governsGrades |
P196392
|
FINISHED |
| Object | Pre-Kindergarten–12 |
—
|
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: Pre-Kindergarten–12 | Statement: [Vernon Independent School District, governsGrades, Pre-Kindergarten–12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governsGrades Context triple: [Vernon Independent School District, governsGrades, Pre-Kindergarten–12]
-
A.
overseesGrades
Indicates that one entity is responsible for monitoring, managing, or supervising the academic grades of another entity.
-
B.
regulatesGradeLevels
Indicates a relationship where one entity sets or enforces rules or standards governing the grade levels of another entity.
-
C.
grades
Indicates that one entity evaluates and assigns a score or level of performance to another entity.
-
D.
includesGrades
Indicates that one entity contains or encompasses the grade information associated with another entity.
-
E.
servesStudentsToGrade
chosen
Indicates that an entity provides educational services or instruction to students up to a specified grade level.
- 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_69f0bd448c6881908aa6b475cefd5ddc |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69ff1c91bbac8190b84012dee1cb3b2c |
completed | May 9, 2026, 11:37 a.m. |
| PD | Predicate disambiguation | batch_69ff1c23ca508190bb5a435d765b7e53 |
completed | May 9, 2026, 11:36 a.m. |
Created at: April 28, 2026, 4:15 p.m.