Triple
T29713183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indonesian National Armed Forces education bodies |
E751837
|
entity |
| Predicate | provideProgramType |
P170619
|
FINISHED |
| Object | pre-commissioning 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: pre-commissioning education | Statement: [Indonesian National Armed Forces education bodies, provideProgramType, pre-commissioning education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: provideProgramType Context triple: [Indonesian National Armed Forces education bodies, provideProgramType, pre-commissioning education]
-
A.
programType
Indicates the category or kind of program to which an entity belongs or with which it is associated.
-
B.
supportsProgramType
Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
-
C.
offeredProgrammeType
chosen
Indicates the type or category of programme that is being offered by an entity.
-
D.
containsProgramType
Indicates that one entity includes or encompasses a specific type or category of program.
-
E.
programTypeHonored
Indicates that a particular type of program has been formally recognized or honored in some way.
- 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: April 28, 2026, 7:32 p.m.