Triple
T5341049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Medical Assistance Percentage |
E123943
|
entity |
| Predicate | hasSpecialRuleFor |
P30432
|
FINISHED |
| Object | U.S. territories (statutory FMAPs and caps) |
—
|
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: U.S. territories (statutory FMAPs and caps) | Statement: [Federal Medical Assistance Percentage, hasSpecialRuleFor, U.S. territories (statutory FMAPs and caps)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpecialRuleFor Context triple: [Federal Medical Assistance Percentage, hasSpecialRuleFor, U.S. territories (statutory FMAPs and caps)]
-
A.
hasSpecialRules
chosen
Indicates that certain entities are governed by additional or exceptional rules that differ from the standard ones.
-
B.
hasSpecial
Indicates that an entity possesses or is associated with a distinctive or exceptional attribute, status, or feature compared to others.
-
C.
hasRule
Indicates that an entity is governed, constrained, or defined by a specific rule or set of rules.
-
D.
specialRuleDetail
Indicates that there is additional, specific information or conditions associated with a special rule in the relationship or action.
-
E.
hasSpecialCategory
Indicates that an entity is associated with a designated special or exceptional category distinct from its standard classifications.
- 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.