Triple
T10336225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Brunswick Township Public Schools |
E243010
|
entity |
| Predicate | hasGradeSpan |
P93763
|
FINISHED |
| Object | PK-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: PK-12 | Statement: [North Brunswick Township Public Schools, hasGradeSpan, PK-12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGradeSpan Context triple: [North Brunswick Township Public Schools, hasGradeSpan, PK-12]
-
A.
hasGradeCount
Indicates a relationship where an entity is associated with the number of grades it has or has received.
-
B.
isGradeWithin
Indicates that a given grade value falls within a specified acceptable or defined grade range.
-
C.
hasAtGradeStructure
Indicates that one entity includes or is associated with a structure located at ground level (at grade).
-
D.
hasGradeSystem
Indicates that one entity uses, follows, or is governed by a particular grading or evaluation system defined by another entity.
-
E.
hasGrades
Indicates that an entity possesses or is associated with one or more grade values, typically reflecting evaluations or scores.
- F. None of above. chosen
Provenance (4 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 11:53 a.m.