Triple
T17315552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiama High School |
E420412
|
entity |
| Predicate | hasEnrolmentPolicy |
P75848
|
FINISHED |
| Object | local intake area based |
—
|
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: local intake area based | Statement: [Kiama High School, hasEnrolmentPolicy, local intake area based]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnrolmentPolicy Context triple: [Kiama High School, hasEnrolmentPolicy, local intake area based]
-
A.
hasEnrollmentPolicy
chosen
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.
hasPolicyStatus
Indicates that an entity is associated with a policy and specifies the current status or state of that policy.
-
C.
hasStudentEnrollment
Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
-
D.
usesEnrollment
Indicates that one entity employs or relies on a particular enrollment record, process, or status in order to function or be applied.
-
E.
hasEnrollmentRange
Indicates that there is a specified minimum and/or maximum number of participants allowed or expected for an enrollment in a given context.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399c6ad88190ba7fcf1d2d53171c |
completed | April 19, 2026, 2:10 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:43 a.m.