Triple
T6030751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anglican Schools Commission |
E134295
|
entity |
| Predicate | typeOfSchoolsOverseen |
P23224
|
FINISHED |
| Object | primary schools |
—
|
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: primary schools | Statement: [Anglican Schools Commission, typeOfSchoolsOverseen, primary schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSchoolsOverseen Context triple: [Anglican Schools Commission, typeOfSchoolsOverseen, primary schools]
-
A.
hasNumberOfSchools
Indicates the quantity of schools associated with a given entity.
-
B.
schoolSystemType
Indicates the classification or organizational model of a school system (e.g., public, private, charter, or other structural type).
-
C.
typeOfSchoolDistrict
Indicates the classification or category of a school district, specifying what kind of school district it is.
-
D.
schoolSector
Indicates the educational sector or category (such as public, private, or charter) to which a school belongs.
-
E.
governsInstitutionType
chosen
Indicates that an entity has authoritative control or regulatory oversight over a particular type or category of institution.
- 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_69c0087515148190a97475d412563865 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0561121708190a904e52aa3484988 |
completed | March 22, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69c049e9a68c81909da0cfe4779ce9b5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:08 p.m.