Triple
T29811357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balboa High School |
E756972
|
entity |
| Predicate | typicalEnrollmentCategory |
P69269
|
FINISHED |
| Object | day school |
—
|
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: day school | Statement: [Balboa High School, typicalEnrollmentCategory, day school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEnrollmentCategory Context triple: [Balboa High School, typicalEnrollmentCategory, day school]
-
A.
typicalEnrollment
Indicates the usual or standard number of participants or members enrolled in something, such as a course, program, or institution.
-
B.
enrollmentCategory
chosen
Indicates the classification or type of enrollment under which an entity is registered or participating.
-
C.
enrollmentType
Indicates the specific category or mode under which an entity is enrolled in a program, service, or system.
-
D.
typicalStudentStatus
Indicates the usual or standard enrollment or academic standing that a student typically holds within an educational context.
-
E.
typicalClassSize
Indicates the usual or average number of students (or participants) that are present in a single class or course section.
- 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_69f2245584848190ad4cab1f07752ccb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a0301289dbc8190a4372958d3451171 |
completed | May 12, 2026, 10:30 a.m. |
| PD | Predicate disambiguation | batch_6a0300d4185c8190a383d5da3659bc4f |
completed | May 12, 2026, 10:28 a.m. |
Created at: April 29, 2026, 5:24 p.m.