Triple
T27267900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bay Terrace, Staten Island |
E687955
|
entity |
| Predicate | hasPublicSchoolCatchment |
P126491
|
FINISHED |
| Object | local Staten Island public 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: local Staten Island public schools | Statement: [Bay Terrace, Staten Island, hasPublicSchoolCatchment, local Staten Island public schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicSchoolCatchment Context triple: [Bay Terrace, Staten Island, hasPublicSchoolCatchment, local Staten Island public schools]
-
A.
schoolCatchmentIncludes
chosen
Indicates that a school’s designated catchment area geographically includes a given location or region.
-
B.
hasPublicMiddleSchool
Indicates that a given area or jurisdiction contains at least one publicly funded middle school.
-
C.
hasParochialSchool
Indicates that an entity operates, is associated with, or includes a parochial (religious-affiliated) school.
-
D.
hasPublicSchoolQuality
Indicates that an entity is associated with a certain level or rating of public school quality.
-
E.
publicSchoolServedBy
Indicates that a particular public school receives services, support, or operations from a specified provider or organization.
- 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_69ef3557abc481908bf3c146f0f3356a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 27, 2026, 10:57 a.m.