Triple
T13998636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VOMM |
E336765
|
entity |
| Predicate | iataCode |
P2569
|
FINISHED |
| Object | MAA |
E336764
|
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: [VOMM, iataCode, MAA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MAA Context triple: [VOMM, iataCode, 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
chosen
MAA is the three-letter IATA airport code for Chennai International Airport, a major aviation hub in southern India.
-
C.
MAAIF
MAAIF is Uganda’s government ministry responsible for overseeing agriculture, livestock, and fisheries development and policy.
-
D.
Mathematical Association of America
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.
-
E.
HMAAC
HMAAC is a cultural institution in Houston dedicated to preserving, exhibiting, and promoting African American art, history, and culture.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb81b208190a961e49a02fa4140 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32789e08190be0f1d1685dcc90e |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.