Triple
T2801101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supplemental Security Income |
E53154
|
entity |
| Predicate | linkedProgram |
P43293
|
FINISHED |
| Object | Medicaid eligibility in many states |
—
|
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: Medicaid eligibility in many states | Statement: [Supplemental Security Income, linkedProgram, Medicaid eligibility in many states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedProgram Context triple: [Supplemental Security Income, linkedProgram, Medicaid eligibility in many states]
-
A.
establishedProgram
Indicates that an entity has created and put into operation a formal program that is now in an active, ongoing state.
-
B.
linkedNetwork
Indicates that two entities are connected through a shared or associated network relationship.
-
C.
agencyProgramme
Indicates that an agency is responsible for, manages, or is associated with a particular programme.
-
D.
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.
-
E.
implementedProgram
Indicates that an entity has created, developed, or put into operation a particular program or software system.
- F. None of above. chosen
Provenance (4 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abde2ec2ac8190bd702ad3eafb6aed |
completed | March 7, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69abdd059f308190853191f6ffe2bc6f |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde2cdcc48190827195d3ae70aa19 |
completed | March 7, 2026, 8:13 a.m. |
Created at: March 6, 2026, 9:58 p.m.