Triple
T24247388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City Geographic District 26 |
E603415
|
entity |
| Predicate | schoolGovernanceModel |
P154617
|
FINISHED |
| Object | zoned 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: zoned schools | Statement: [New York City Geographic District 26, schoolGovernanceModel, zoned schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolGovernanceModel Context triple: [New York City Geographic District 26, schoolGovernanceModel, zoned schools]
-
A.
typeOfSchoolGovernance
chosen
Indicates the form or structure of administrative and decision-making control under which a school is governed.
-
B.
schoolBoardSystem
Indicates a governance or administrative relationship in which a school board oversees, manages, or makes decisions for a school system or district.
-
C.
schoolBoard
Indicates that an entity serves as or is governed by a school board responsible for overseeing educational policies and administration.
-
D.
schoolBoardElected
Indicates that a school board has been chosen or selected through an election process.
-
E.
schoolSystemType
Indicates the classification or organizational model of a school system (e.g., public, private, charter, or other structural type).
- 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_69e2953f631c819097cbb421046bd417 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28b860a0c81908c884ae876b46093 |
completed | April 29, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:04 a.m.