Triple
T22497881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | After School Matters youth program |
E556190
|
entity |
| Predicate | hasProgramModel |
P21929
|
FINISHED |
| Object | apprenticeships |
—
|
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: apprenticeships | Statement: [After School Matters youth program, hasProgramModel, apprenticeships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProgramModel Context triple: [After School Matters youth program, hasProgramModel, apprenticeships]
-
A.
hasProgramCode
Indicates that an entity is associated with a specific program identifier or code used to reference or classify it within a system.
-
B.
hasProgrammingModel
Indicates that one entity defines, specifies, or is associated with the programming model used or supported by another entity.
-
C.
usedProgramModel
chosen
Indicates that an entity employed a specific program model as the basis or framework for its activities or operations.
-
D.
hasProgramme
Indicates that an entity is associated with or offers a particular programme (such as a course of study, plan, or structured set of activities).
-
E.
hasProgramElement
Indicates that one entity contains, includes, or is associated with a specific program element (such as a function, class, module, or code component).
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb31b8081909553fa860a07e746 |
completed | April 29, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e898be31448190be5ae7f5656f0497 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:50 p.m.