Triple
T22221350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank S. Greene Jr. Middle School |
E549215
|
entity |
| Predicate | publicSchoolStatus |
P48805
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Frank S. Greene Jr. Middle School, publicSchoolStatus, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicSchoolStatus Context triple: [Frank S. Greene Jr. Middle School, publicSchoolStatus, yes]
-
A.
schoolStatus
Indicates the current educational situation or enrollment condition of an entity in relation to a school.
-
B.
legalStatusInSchool
Indicates the legal standing or classification an individual holds within a school context (e.g., enrolled student, staff, visitor, or other legally defined role).
-
C.
publicSchool
chosen
Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
-
D.
schoolSocialStatus
Indicates the relative level of social standing or prestige an individual holds within a school community.
-
E.
studentsStatus
Indicates the current academic or enrollment status associated with one or more students.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b90b1dc81908fee5fab8d5d14a2 |
completed | April 28, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:37 p.m.