Triple
T7717462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayonne School District |
E174920
|
entity |
| Predicate | hasMiddleSchoolGrades |
P44085
|
FINISHED |
| Object | 6–8 |
—
|
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: 6–8 | Statement: [Bayonne School District, hasMiddleSchoolGrades, 6–8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMiddleSchoolGrades Context triple: [Bayonne School District, hasMiddleSchoolGrades, 6–8]
-
A.
hasPublicMiddleSchool
Indicates that a given area or jurisdiction contains at least one publicly funded middle school.
-
B.
hasUpperSchool
Indicates that an educational institution includes or is associated with an upper-level school (typically serving older or advanced students).
-
C.
hasSchoolYears
chosen
Indicates a relationship where an educational institution is associated with specific academic years or grade levels it offers or covers.
-
D.
middleGrade
Indicates that an entity is classified as being at the middle grade or intermediate level within an ordered grading or ranking system.
-
E.
hasSchool
Indicates that an entity possesses, is associated with, or is served by a particular school.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:05 p.m.