Triple
T22758415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Whittier School District |
E562913
|
entity |
| Predicate | schoolTypeCategory |
P72238
|
FINISHED |
| Object | K–8 school district |
—
|
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: K–8 school district | Statement: [South Whittier School District, schoolTypeCategory, K–8 school district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolTypeCategory Context triple: [South Whittier School District, schoolTypeCategory, K–8 school district]
-
A.
schoolSystemType
Indicates the classification or organizational model of a school system (e.g., public, private, charter, or other structural type).
-
B.
schoolClassification
chosen
Indicates how a school is categorized within an educational system, such as by level, type, or other official classification.
-
C.
schoolSector
Indicates the educational sector or category (such as public, private, or charter) to which a school belongs.
-
D.
schoolTypeOffered
Indicates the specific type or category of school that is provided or made available by an educational institution or organization.
-
E.
schoolTypeAttended
Indicates the specific type or category of school that an entity has attended.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7a8ca481909953dcd6fbcc5fcf |
completed | April 29, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:25 p.m.