Triple
T24423574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Shore region of Chicago metropolitan area |
E615791
|
entity |
| Predicate | schoolQuality |
P64823
|
FINISHED |
| Object | high-performing public school districts |
—
|
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: high-performing public school districts | Statement: [North Shore region of Chicago metropolitan area, schoolQuality, high-performing public school districts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolQuality Context triple: [North Shore region of Chicago metropolitan area, schoolQuality, high-performing public school districts]
-
A.
schoolSector
Indicates the educational sector or category (such as public, private, or charter) to which a school belongs.
-
B.
schoolBoard
Indicates that an entity serves as or is governed by a school board responsible for overseeing educational policies and administration.
-
C.
educationQualityComparableTo
Indicates that the quality of education provided by one entity is similar or equivalent to that provided by another entity.
-
D.
school
Indicates that an entity attends, is enrolled in, or is institutionally associated as a student with a particular school.
-
E.
schoolDistrictReputation
chosen
Indicates the perceived quality and standing of a school district based on factors like academics, safety, resources, and community opinion.
- 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_69e2d7eadb248190a867130fe45f0388 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f296a4e3e4819094ac0941da5ca641 |
completed | April 29, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:14 a.m.