Triple
T20399110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medicare Appeals Council |
E500284
|
entity |
| Predicate | partyTypes |
P57232
|
FINISHED |
| Object | Medicare beneficiaries |
—
|
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 beneficiaries | Statement: [Medicare Appeals Council, partyTypes, Medicare beneficiaries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partyTypes Context triple: [Medicare Appeals Council, partyTypes, Medicare beneficiaries]
-
A.
partyCategory
chosen
Indicates the classification or type assigned to a party within a given context or system.
-
B.
party
Indicates that an entity participates as a side or participant in an event, agreement, or situation.
-
C.
typicalParty
Indicates that an entity is a usual, standard, or characteristic participant in a given type of event, situation, or relationship.
-
D.
typeOfEvent
Indicates that one entity is classified as a specific kind or category of event.
-
E.
hostsTypeOfEvent
Indicates that an entity organizes or provides the venue for a particular type or category of 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6798cf04481909f183c4c75fe6d52 |
completed | April 20, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:29 a.m.