Triple
T8689587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British schools overseas |
E206251
|
entity |
| Predicate | mayFollowFramework |
P9089
|
FINISHED |
| Object | British School Overseas standards |
—
|
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: British School Overseas standards | Statement: [British schools overseas, mayFollowFramework, British School Overseas standards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayFollowFramework Context triple: [British schools overseas, mayFollowFramework, British School Overseas standards]
-
A.
frameworkFor
Indicates that one entity serves as a supporting structure, system, or basis that organizes, guides, or enables the development or functioning of another entity.
-
B.
appliesFramework
chosen
Indicates that one entity uses or implements a particular framework in relation to another entity or context.
-
C.
mayIncludeFeature
Indicates that one entity is allowed or able to contain, incorporate, or be associated with a particular feature.
-
D.
isPartOfFramework
Indicates that one entity functions as a component, module, or element within a larger structured framework or system.
-
E.
adoptedFrameworkType
Indicates that one entity has chosen and is using a particular framework type as its adopted standard or approach.
- 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5734602c81909a0687e00f4a4a26 |
completed | March 31, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69cc4569f9048190b9c86b4c81103d35 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:33 p.m.