Triple
T26659634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Postgraduate Certificate in Education |
E666605
|
entity |
| Predicate | teachingPracticeSetting |
P125694
|
FINISHED |
| Object | state schools |
—
|
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: state schools | Statement: [Postgraduate Certificate in Education, teachingPracticeSetting, state schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachingPracticeSetting Context triple: [Postgraduate Certificate in Education, teachingPracticeSetting, state schools]
-
A.
educationPractice
Indicates that an entity engages in, applies, or embodies a particular educational method, strategy, or instructional approach.
-
B.
coreTeaching
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
-
C.
typeOfTeaching
Indicates the specific method or style of teaching used in an instructional context.
-
D.
settingOfPractice
chosen
Indicates the context or environment in which a particular practice, activity, or procedure is carried out.
-
E.
recitationSetting
Indicates the context or environment in which a recitation takes place, such as the type, location, or format of the recitation event.
- 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_69ee9cf8c7188190b9b00270a8a89164 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 2:36 a.m.