Triple

T10247596
Position Surface form Disambiguated ID Type / Status
Subject Bank of Central African States E240257 entity
Predicate acronym P43 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: [Bank of Central African States, acronym, BEAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BEAC
Context triple: [Bank of Central African States, acronym, 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_69d6f7ade8448190830d950b7cee0c34 completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:27 a.m.