Triple
T5481752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Curriculum (England) |
E123480
|
entity |
| Predicate | foundationSubject |
P450
|
FINISHED |
| Object | art and design |
—
|
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: art and design | Statement: [National Curriculum (England), foundationSubject, art and design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundationSubject Context triple: [National Curriculum (England), foundationSubject, art and design]
-
A.
foundation
Indicates that one entity serves as the base, support, or underlying basis upon which another entity is built, established, or depends.
-
B.
foundationEvent
Indicates the event or act through which something (such as an organization, institution, or structure) is formally established or created.
-
C.
foundationType
Indicates the structural or organizational basis on which something is built, established, or supported.
-
D.
foundationPlace
Indicates the place where an organization, institution, or similar entity was originally founded or established.
-
E.
subjectMatter
chosen
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
- 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_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. |
Created at: March 20, 2026, 2:09 p.m.