Triple
T17446902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KOF |
E424809
|
entity |
| Predicate | adrProgramType |
P2192
|
FINISHED |
| Object | sponsored ADR |
—
|
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: sponsored ADR | Statement: [KOF, adrProgramType, sponsored ADR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adrProgramType Context triple: [KOF, adrProgramType, sponsored ADR]
-
A.
programType
chosen
Indicates the category or kind of program to which an entity belongs or with which it is associated.
-
B.
componentProgram
Indicates that one entity is a component or module that forms part of a larger program or software system represented by the other entity.
-
C.
containsProgramType
Indicates that one entity includes or encompasses a specific type or category of program.
-
D.
programTypeHonored
Indicates that a particular type of program has been formally recognized or honored in some way.
-
E.
intendedProgram
Indicates the academic or training program that an entity plans or expects to pursue, rather than one they are currently enrolled in or have completed.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ffc89e4819096372cc55b40cc3b |
completed | April 19, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.