Triple
T1746050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 107-296 |
E38336
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | HSA |
E37934
|
NE 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: HSA | Statement: [Public Law 107-296, hasAbbreviation, HSA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HSA Context triple: [Public Law 107-296, hasAbbreviation, HSA]
-
A.
HSA
chosen
HSA is a common abbreviation for the Homeland Security Act of 2002, the U.S. law that created the Department of Homeland Security and reorganized federal efforts related to national security and terrorism.
-
B.
FSA
FSA is the abbreviation for the former U.S. Federal Security Agency, a government body that once oversaw various federal social and public health programs.
-
C.
NISA
NISA is a professional third-division soccer league in the United States that operates independently of Major League Soccer and the USL system.
-
D.
Humana
Humana is a major American health insurance and managed care company known for offering Medicare, Medicaid, and commercial health plans nationwide.
-
E.
GEHA
GEHA is a U.S.-based not-for-profit health and dental benefits provider that primarily serves federal employees and retirees.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63eabdf48190878ecde3d1b1faf3 |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0de0ff08190bb7758e3ba32de80 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:31 p.m.