Triple
T6991001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common Monetary Area |
E162084
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | CMA |
E162084
|
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: CMA | Statement: [Common Monetary Area, acronym, CMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CMA Context triple: [Common Monetary Area, acronym, CMA]
-
A.
CMA
chosen
CMA is the acronym commonly used for the Common Monetary Area, a monetary union linking several Southern African countries through a shared currency framework.
-
B.
CMA
CMA is a U.S. Army organization responsible for the safe storage, handling, and disposal of the nation's chemical weapons stockpile and related materials.
-
C.
CMA
CMA is a prominent trade organization that promotes and supports the country music industry, best known for producing the annual CMA Awards.
-
D.
CPA
CPA is the stock ticker symbol for Copa Airlines, a major Panamanian airline known for its extensive network across the Americas.
-
E.
CPA
CPA is the ICAO airline designator used to identify Cathay Pacific Airways in international aviation operations.
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbc08758819083d36a1fc0463b27 |
completed | March 27, 2026, 7:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761d3f07081908892cdcac8e0917c |
completed | March 28, 2026, 5:06 a.m. |
Created at: March 27, 2026, 2:32 p.m.