Triple
T25237766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Education Act 1944 |
E632383
|
entity |
| Predicate | madeEducation |
P158059
|
FINISHED |
| Object | free secondary education for all pupils |
—
|
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: free secondary education for all pupils | Statement: [Education Act 1944, madeEducation, free secondary education for all pupils]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeEducation Context triple: [Education Act 1944, madeEducation, free secondary education for all pupils]
-
A.
coEducation
Indicates that an educational institution or program provides instruction to students of different genders together rather than separately.
-
B.
educates
Indicates that one entity provides instruction, knowledge, or training to another entity.
-
C.
commonEducation
Indicates that two or more entities share at least one educational experience in common, such as attending the same school, program, or course.
-
D.
educationAndCulture
Indicates a relationship where activities, policies, or influences connect educational processes with cultural development, preservation, or expression.
-
E.
isEducational
Indicates that something serves to teach, instruct, or facilitate learning for an audience.
- F. None of above. chosen
Provenance (4 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_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47dfb2c9c8190b34148512dd535c8 |
completed | May 1, 2026, 10:18 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 21, 2026, 1:07 p.m.