Triple
T5868055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Enrollment Period |
E130444
|
entity |
| Predicate | consequenceOfMissing |
P812
|
FINISHED |
| Object | possible gap in Medicare 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: possible gap in Medicare coverage | Statement: [General Enrollment Period, consequenceOfMissing, possible gap in Medicare coverage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceOfMissing Context triple: [General Enrollment Period, consequenceOfMissing, possible gap in Medicare coverage]
-
A.
hasConsequence
chosen
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
B.
consequenceOfRevocation
Indicates that something occurs as a direct result of a prior revocation event or decision.
-
C.
consequenceOfDestruction
Indicates that one event, state, or condition occurs as a direct result of a prior act of destruction.
-
D.
announcedConsequence
Indicates that one entity has publicly stated or declared a specific outcome or consequence that will result from an action, event, or condition.
-
E.
lostDuring
Indicates that something ceased to be in possession or was no longer retained while a particular event, process, or time period was occurring.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ffaef081909faaa7f420a3b9b7 |
completed | March 22, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69c03347e51c81909053bcf34e3b88ab |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:56 p.m.