Triple
T418386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agricultural Adjustment Act of 1933 |
E8044
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | AAA |
E5802
|
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: AAA | Statement: [Agricultural Adjustment Act of 1933, shortName, AAA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AAA Context triple: [Agricultural Adjustment Act of 1933, shortName, AAA]
-
A.
AAA
chosen
AAA was a New Deal-era U.S. government agency created to regulate agricultural production and stabilize farm prices during the Great Depression.
-
B.
AA
AA was the common abbreviation for the German Foreign Office (Auswärtiges Amt) during the Nazi era.
-
C.
AA
AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
-
D.
AAR
AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
-
E.
AAC
AAC (Advanced Audio Coding) is a widely used digital audio compression format known for delivering better sound quality than MP3 at similar bit rates and is commonly used in online music stores and streaming services.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ee9059248190ba901680431914b5 |
completed | Feb. 28, 2026, 1:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a423a4debc819098e13855b550a72e |
completed | March 1, 2026, 11:31 a.m. |
Created at: Feb. 28, 2026, 1:11 p.m.