Triple
T10247704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CFA franc |
E240259
|
entity |
| Predicate | monetaryAuthority |
P509
|
FINISHED |
| Object | BEAC |
E377291
|
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: BEAC | Statement: [CFA franc, monetaryAuthority, BEAC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BEAC Context triple: [CFA franc, monetaryAuthority, BEAC]
-
A.
BEAC
chosen
BEAC is the central bank responsible for issuing currency and conducting monetary policy for the countries of the Central African Economic and Monetary Community (CEMAC).
-
B.
BEAS
BEAS was the stock ticker symbol for BEA Systems, a software company best known for its enterprise middleware and WebLogic application server before being acquired by Oracle.
-
C.
BEK
BEK is the IATA airport code for Bareilly Airport, a domestic airport serving the city of Bareilly in Uttar Pradesh, India.
-
D.
BE2
The BE2 was a British single-engine biplane widely used in World War I, primarily for reconnaissance and training roles.
-
E.
BEI
BEI is the Indonesian acronym for the Indonesia Stock Exchange, the primary securities trading venue in Indonesia.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22e0d4c8190a6712859924e9d3d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d794ad73508190880a1030d483f5a8 |
completed | April 9, 2026, 11:59 a.m. |
Created at: April 6, 2026, 11:27 a.m.