Triple
T4044804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mathematical Association of America |
E84038
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | MAA |
E84038
|
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: MAA | Statement: [Mathematical Association of America, hasAbbreviation, MAA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MAA Context triple: [Mathematical Association of America, hasAbbreviation, MAA]
-
A.
MAA
MAA is the acronym for the Maryland Aviation Administration, the state agency that oversees and manages Maryland’s public-use airports, including Baltimore/Washington International Thurgood Marshall Airport.
-
B.
MAA
MAA is the three-letter IATA airport code for Chennai International Airport, a major aviation hub in southern India.
-
C.
Mathematical Association of America
chosen
The Mathematical Association of America is a professional society dedicated to the advancement, exposition, and teaching of undergraduate-level mathematics in the United States and beyond.
-
D.
AMS
AMS is the three-letter IATA airport code for Amsterdam Airport Schiphol, the main international airport of the Netherlands.
-
E.
AMS
AMS is a United States Department of Agriculture agency that develops quality standards, grading, and marketing programs for agricultural products to support fair and efficient markets.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb5f85d48190ba80a0a24fbe438a |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5629c312c8190b89af732e2ad0fa3 |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:37 p.m.