Triple
T21635937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MGA |
E533957
|
entity |
| Predicate | hasISO4217Code |
P189
|
FINISHED |
| Object | MGA |
—
|
NE NERFINISHED |
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: MGA | Statement: [MGA, hasISO4217Code, MGA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MGA Context triple: [MGA, hasISO4217Code, MGA]
-
A.
MGA
chosen
MGA is the official ISO 4217 currency code for the Malagasy ariary, the national currency of Madagascar.
-
B.
MGA
MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
-
C.
MGA
MGA is a public university in Georgia, United States, offering a range of undergraduate and graduate programs across multiple campuses.
-
D.
MGA
MGA is the IATA airport code for Augusto C. Sandino International Airport, the main international gateway serving Managua, Nicaragua.
-
E.
MGN
MGN is the FAA airport code for Harbor Springs Municipal Airport, a public-use airfield serving Harbor Springs, Michigan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef538c5fbc8190a3316cf91f9516dc |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:35 p.m.