Triple
T12079208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chatham Township, New Jersey |
E287632
|
entity |
| Predicate | hasPublicSchoolLevel |
P113
|
FINISHED |
| Object | elementary schools |
—
|
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: elementary schools | Statement: [Chatham Township, New Jersey, hasPublicSchoolLevel, elementary schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicSchoolLevel Context triple: [Chatham Township, New Jersey, hasPublicSchoolLevel, elementary schools]
-
A.
hasPublicMiddleSchool
Indicates that a given area or jurisdiction contains at least one publicly funded middle school.
-
B.
hasPublicEducationSystem
Indicates that a governing body or region maintains an organized, state-funded system of schools and educational institutions accessible to the general public.
-
C.
hasSchool
chosen
Indicates that an entity possesses, is associated with, or is served by a particular school.
-
D.
hasUpperSchool
Indicates that an educational institution includes or is associated with an upper-level school (typically serving older or advanced students).
-
E.
hasSchoolsAccess
Indicates that one entity has permission or the ability to access schools or school-related resources associated with 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bf4f508190842927e7e0642235 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:48 p.m.