Triple
T22316848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuttyhunk Elementary School |
E551666
|
entity |
| Predicate | hasEnrollmentPattern |
P147722
|
FINISHED |
| Object | enrollment varies year to year |
—
|
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: enrollment varies year to year | Statement: [Cuttyhunk Elementary School, hasEnrollmentPattern, enrollment varies year to year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnrollmentPattern Context triple: [Cuttyhunk Elementary School, hasEnrollmentPattern, enrollment varies year to year]
-
A.
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.
-
B.
hasCoursePattern
Indicates that an entity follows, is associated with, or is defined by a particular course structure or pattern.
-
C.
hasEnrollmentRange
Indicates that there is a specified minimum and/or maximum number of participants allowed or expected for an enrollment in a given context.
-
D.
hasStudentEnrollment
Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
-
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. chosen
Provenance (4 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157535eb48190adbefbb619cb5fcd |
completed | April 29, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:42 p.m.