Triple
T5341021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Medical Assistance Percentage |
E123943
|
entity |
| Predicate | hasMinimumRate |
P7353
|
FINISHED |
| Object | 50 percent federal share for most 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: 50 percent federal share for most states | Statement: [Federal Medical Assistance Percentage, hasMinimumRate, 50 percent federal share for most states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMinimumRate Context triple: [Federal Medical Assistance Percentage, hasMinimumRate, 50 percent federal share for most states]
-
A.
hasMinimumValue
chosen
Indicates that an entity possesses a value that is the lowest permissible or observed within a specified set, range, or context.
-
B.
hasRateType
Indicates the specific category or scheme under which a rate (such as a price, fee, or interest) is defined or applied.
-
C.
isMinimumWhen
Indicates that a value or state is at its smallest or least level precisely under certain specified conditions or circumstances.
-
D.
hasMinimumBalanceForTrain
Indicates that an entity’s balance meets or exceeds the minimum required amount to use or board a train.
-
E.
hasMinimumSize
Indicates that an entity meets or exceeds a specified minimum size threshold.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85e86edc81908d87933db6489f91 |
completed | March 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69bd845a62b081909782863865b257a9 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2 p.m.