Triple
T5481763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Curriculum (England) |
E123480
|
entity |
| Predicate | exemptedInstitutionType |
P64276
|
FINISHED |
| Object | academies |
—
|
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: academies | Statement: [National Curriculum (England), exemptedInstitutionType, academies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exemptedInstitutionType Context triple: [National Curriculum (England), exemptedInstitutionType, academies]
-
A.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
B.
eligibleInstitution
Indicates that an institution satisfies specified criteria or requirements to qualify for a particular program, benefit, or status.
-
C.
exemptionType
Indicates the specific category or kind of exemption that applies in a given context.
-
D.
governsInstitutionType
Indicates that an entity has authoritative control or regulatory oversight over a particular type or category of institution.
-
E.
supportsInstitutionType
Indicates that one entity provides backing, resources, or endorsement specifically for a particular type or category of institution.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd93e5d0f08190a6cc9fc408b7c5bb |
completed | March 20, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69bd91a73b148190a865243536a4fe76 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd93e4d2d081908eb75ee22fe72824 |
completed | March 20, 2026, 6:37 p.m. |
Created at: March 20, 2026, 2:09 p.m.