Triple
T1064670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medicaid |
E22982
|
entity |
| Predicate | coversService |
P17741
|
FINISHED |
| Object | inpatient hospital services |
—
|
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: inpatient hospital services | Statement: [Medicaid, coversService, inpatient hospital services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversService Context triple: [Medicaid, coversService, inpatient hospital services]
-
A.
serviceWith
chosen
Indicates that one entity provides or is associated with a particular service offered to or used by another entity.
-
B.
serviceIn
Indicates that one entity serves, operates, or performs its function within the context, scope, or domain of another entity.
-
C.
coversTypeOfSite
Indicates that one entity provides coverage or applies to a particular category or type of site.
-
D.
coversCity
Indicates that one entity extends over, includes, or geographically encompasses the area of a specified city.
-
E.
coversEvent
Indicates that one event includes, spans, or encompasses the time period or occurrence of another event.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b90f91248190ace1534a51b82bdd |
completed | March 1, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69a4b7359eb881909c868a558861cc18 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.