Triple
T21766676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Paul Central High School |
E537311
|
entity |
| Predicate | hasEnrollmentType |
P26488
|
FINISHED |
| Object | coeducational |
—
|
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: coeducational | Statement: [St. Paul Central High School, hasEnrollmentType, coeducational]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnrollmentType Context triple: [St. Paul Central High School, hasEnrollmentType, coeducational]
-
A.
enrollmentType
chosen
Indicates the specific category or mode under which an entity is enrolled in a program, service, or system.
-
B.
hasStudentEnrollment
Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
-
C.
hasEnrollmentPolicy
Indicates that there is a specific rule or set of rules governing who may enroll in, access, or participate in something and under what conditions.
-
D.
hasGradeType
Indicates that an entity is associated with a particular category or type of grade (e.g., letter grade, pass/fail, percentage).
-
E.
usesEnrollment
Indicates that one entity employs or relies on a particular enrollment record, process, or status in order to function or be applied.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031aa9c888190887c5c1d1e3bab9f |
completed | April 28, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:51 p.m.