Triple
T28058032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ubley Church of England Primary School |
E709021
|
entity |
| Predicate | offersEducation |
P42231
|
FINISHED |
| Object | primary education |
—
|
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 education | Statement: [Ubley Church of England Primary School, offersEducation, primary education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersEducation Context triple: [Ubley Church of England Primary School, offersEducation, primary education]
-
A.
offersEducationIn
chosen
Indicates that an entity provides or delivers educational programs, courses, or instruction in a specified field, subject, or area.
-
B.
offersEducationTo
Indicates that one entity provides educational services, instruction, or learning opportunities to another entity.
-
C.
offersPost16Education
Indicates that an entity provides educational programs or services for learners aged 16 and over.
-
D.
possibleEducation
Indicates that an entity is a plausible or potential educational attainment or qualification for another entity, without asserting that it actually occurred.
-
E.
offersFieldEducation
Indicates that one entity provides practical, field-based educational or training opportunities to another.
- 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_69ef9b6eb6d88190a3fea236eb0f7bed |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 27, 2026, 8:37 p.m.