Triple
T2897932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Unemployment Tax Act |
E63986
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | FUTA |
E63986
|
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: FUTA | Statement: [Federal Unemployment Tax Act, abbreviation, FUTA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FUTA Context triple: [Federal Unemployment Tax Act, abbreviation, FUTA]
-
A.
Federal Unemployment Tax Act
chosen
The Federal Unemployment Tax Act is a U.S. federal law that imposes a payroll tax on employers to fund state workforce agencies and provide unemployment compensation to eligible workers who lose their jobs.
-
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.
FAS
FAS is a common abbreviation for the Faculty of Arts and Science, an academic division that typically encompasses a wide range of humanities, social science, and natural science disciplines at a university.
-
D.
FÜ
FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
-
E.
FERA
FERA was a New Deal-era U.S. government agency that provided direct relief and work assistance to millions of unemployed Americans during the Great Depression.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe08fe3248190a6bb7de2a2c317b1 |
completed | March 7, 2026, 8:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03188d84081909e23b46c2f75250b |
completed | March 10, 2026, 2:58 p.m. |
Created at: March 6, 2026, 10:08 p.m.