Triple
T4012656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Officer Candidate School (United States Navy) |
E90681
|
entity |
| Predicate | commissioningProgramType |
P2192
|
FINISHED |
| Object | direct accession |
—
|
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: direct accession | Statement: [Officer Candidate School (United States Navy), commissioningProgramType, direct accession]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commissioningProgramType Context triple: [Officer Candidate School (United States Navy), commissioningProgramType, direct accession]
-
A.
programType
chosen
Indicates the category or kind of program to which an entity belongs or with which it is associated.
-
B.
establishedProgram
Indicates that an entity has created and put into operation a formal program that is now in an active, ongoing state.
-
C.
agencyProgramme
Indicates that an agency is responsible for, manages, or is associated with a particular programme.
-
D.
supportsProgramType
Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
-
E.
coordinatesProgramsOf
Indicates that one entity organizes and manages the activities or operations of another entity’s programs to ensure they function in a unified and efficient manner.
- 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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaec08dc8190a341809059554f84 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fa6fec81909b1190ecbba61410 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:35 p.m.