Triple
T182125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medicare |
E3899
|
entity |
| Predicate | partDType |
P6341
|
FINISHED |
| Object | prescription drug coverage |
—
|
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: prescription drug coverage | Statement: [Medicare, partDType, prescription drug coverage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partDType Context triple: [Medicare, partDType, prescription drug coverage]
-
A.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
B.
partlyDefinedBy
Indicates that one entity’s nature, role, or characteristics are only partially determined or specified by another entity.
-
C.
partOfSystem
Indicates that one entity functions as a component or subsystem within the structure or organization of another entity.
-
D.
demarcationType
Indicates the specific way in which a boundary or separation between entities is defined, marked, or categorized.
-
E.
hasParticleType
Indicates that an entity is associated with, composed of, or characterized by a specific type or category of particle.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25923507c8190bd7f6eda404b0da0 |
completed | Feb. 28, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69a2566ccc288190add5624ede96d82b |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2575e7c7c819095167d8a862c255a |
completed | Feb. 28, 2026, 2:47 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.