Triple
T7158608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prospect Heights School District 23 |
E166879
|
entity |
| Predicate | schoolTypeServed |
P72238
|
FINISHED |
| Object | K–8 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: K–8 schools | Statement: [Prospect Heights School District 23, schoolTypeServed, K–8 schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolTypeServed Context triple: [Prospect Heights School District 23, schoolTypeServed, K–8 schools]
-
A.
schoolSystemType
Indicates the classification or organizational model of a school system (e.g., public, private, charter, or other structural type).
-
B.
typeOfSchoolDistrict
Indicates the classification or category of a school district, specifying what kind of school district it is.
-
C.
schoolSector
Indicates the educational sector or category (such as public, private, or charter) to which a school belongs.
-
D.
schoolClassification
chosen
Indicates how a school is categorized within an educational system, such as by level, type, or other official classification.
-
E.
schoolAttended
Indicates that one entity has attended, or been enrolled as a student at, the school represented by the other 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8109a64819087e132d6d483c07d |
completed | March 27, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69c6e1cd5c948190a9113b23f7308c21 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:47 p.m.