Triple
T17148310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamilton Township School District (Mercer County, New Jersey) |
E416152
|
entity |
| Predicate | gradesServedTo |
P3870
|
FINISHED |
| Object | twelfth grade |
—
|
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: twelfth grade | Statement: [Hamilton Township School District (Mercer County, New Jersey), gradesServedTo, twelfth grade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradesServedTo Context triple: [Hamilton Township School District (Mercer County, New Jersey), gradesServedTo, twelfth grade]
-
A.
servesGradeLevels
chosen
Indicates that an entity (such as a school or program) provides services or instruction to students in the specified grade levels.
-
B.
servesHighSchool
Indicates that an entity provides services, support, or resources specifically to a high school.
-
C.
servesStudentPopulation
Indicates that an entity provides services, resources, or support to a defined group of students.
-
D.
grades
Indicates that one entity evaluates and assigns a score or level of performance to another entity.
-
E.
offersGrades
Indicates that one entity provides or assigns academic grades to 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f404f0e88190b7ac9ac523fdc7da |
completed | April 18, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.