Triple
T22336370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medigap Plan B |
E552155
|
entity |
| Predicate | excludesEnrollmentFor |
P3119
|
FINISHED |
| Object | people enrolled in Medicare Advantage for the same period |
—
|
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: people enrolled in Medicare Advantage for the same period | Statement: [Medigap Plan B, excludesEnrollmentFor, people enrolled in Medicare Advantage for the same period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: excludesEnrollmentFor Context triple: [Medigap Plan B, excludesEnrollmentFor, people enrolled in Medicare Advantage for the same period]
-
A.
excludedFrom
Indicates that one entity is deliberately not included within the scope, membership, or applicability of another entity or set.
-
B.
excludesDiscipline
Indicates that one entity explicitly omits, disallows, or does not cover a particular discipline in its scope, application, or association.
-
C.
excludes
chosen
Indicates that one entity deliberately omits, leaves out, or does not allow the inclusion of another entity within a set, group, or context.
-
D.
excludesAward
Indicates that one entity explicitly omits or disqualifies another entity from receiving a particular award.
-
E.
usesEnrollment
Indicates that one entity employs or relies on a particular enrollment record, process, or status in order to function or be applied.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1577f2f208190ac6270ac4581fa15 |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:43 p.m.