Triple
T22029527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CDRs |
E544048
|
entity |
| Predicate | usesStandard |
P1587
|
FINISHED |
| Object | SSA medical listings |
—
|
NE NERFINISHED |
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: SSA medical listings | Statement: [CDRs, usesStandard, SSA medical listings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SSA medical listings Context triple: [CDRs, usesStandard, SSA medical listings]
-
A.
Social Security Administration Listing of Impairments
chosen
The Social Security Administration Listing of Impairments is an official catalog of medical conditions and severity criteria used to determine whether an individual’s disability meets the federal standard for Social Security disability benefits.
-
B.
SSA
SSA is the IATA airport code for Deputado Luís Eduardo Magalhães International Airport serving Salvador, Brazil.
-
C.
SSA
SSA is a professional scientific organization dedicated to advancing the study and understanding of earthquakes and seismic phenomena.
-
D.
SSA
SSA is the U.S. federal agency responsible for administering Social Security programs, including retirement, disability, and survivors benefits.
-
E.
SSA
SSA is the French Armed Forces Health Service, responsible for providing medical support and healthcare to military personnel in France and during overseas operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ebf6d48190b84e7a45bbf9049c |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:24 p.m.