Triple
T22245478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plan K |
E549829
|
entity |
| Predicate | coversPartially |
P16474
|
FINISHED |
| Object | Medicare Part A coinsurance and hospital costs |
—
|
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: Medicare Part A coinsurance and hospital costs | Statement: [Plan K, coversPartially, Medicare Part A coinsurance and hospital costs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversPartially Context triple: [Plan K, coversPartially, Medicare Part A coinsurance and hospital costs]
-
A.
partlyCoveredBy
chosen
Indicates that one entity is covered or overlapped by another entity, but only to a partial extent rather than completely.
-
B.
isPartially
Indicates that one entity is included within another to some extent, but not completely or fully.
-
C.
isPartiallyVisibleFrom
Indicates that one entity can be seen only in part, rather than fully, from the viewpoint or location of another entity.
-
D.
isOnlyPartOf
Indicates that an entity is a component exclusively of a specific whole and not of any other whole.
-
E.
partiallyCorrespondsTo
Indicates that one entity matches or aligns with another entity only in some aspects, segments, or components, rather than fully or exactly.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13217c9f88190aa2ce7d644b57739 |
completed | April 28, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
Created at: April 16, 2026, 8:38 p.m.