Triple
T25930264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Child Health Quality Improvement Program |
E653418
|
entity |
| Predicate | targetProgramType |
P2192
|
FINISHED |
| Object | public health insurance programs |
—
|
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: public health insurance programs | Statement: [Child Health Quality Improvement Program, targetProgramType, public health insurance programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetProgramType Context triple: [Child Health Quality Improvement Program, targetProgramType, public health insurance programs]
-
A.
programType
chosen
Indicates the category or kind of program to which an entity belongs or with which it is associated.
-
B.
containsProgramType
Indicates that one entity includes or encompasses a specific type or category of program.
-
C.
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.
-
D.
supportsProgramType
Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
-
E.
programTarget
Indicates that a program or initiative is directed toward, intended for, or focused on a particular target entity.
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 22, 2026, 8:36 a.m.