Triple
T1957077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GCSE |
E42293
|
entity |
| Predicate | coreSubjects |
P6235
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [GCSE, coreSubjects, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreSubjects Context triple: [GCSE, coreSubjects, English]
-
A.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
-
B.
educationalFocus
chosen
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
C.
coreTeaching
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
-
D.
subjectMatter
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
-
E.
educationalStages
Indicates the ordered levels or phases within an education system that a learner progresses through.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb68a8e608190bc37a85913b3cd44 |
completed | March 7, 2026, 5:24 a.m. |
| PD | Predicate disambiguation | batch_69abaff5dbd48190a9d36ca60de151db |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.