Triple

T6163063
Position Surface form Disambiguated ID Type / Status
Subject AFESD E137489 entity
Predicate abbreviation P43 FINISHED
Object AFESD E137489 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: AFESD | Statement: [AFESD, abbreviation, AFESD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AFESD
Context triple: [AFESD, abbreviation, AFESD]
  • A. AFESD chosen
    AFESD is a regional Arab financial institution that provides development financing and support to promote economic and social progress in Arab countries.
  • B. FAES
    FAES is the acronym for the Armed Forces of El Salvador, the country's unified military institution responsible for national defense and security.
  • C. AFSA
    AFSA was a U.S. military signals intelligence and cryptologic organization that served as a predecessor to the National Security Agency (NSA).
  • D. AFSJ
    AFSJ is the European Union’s policy framework that governs cooperation on justice, security, border control, and fundamental rights across member states.
  • E. AEF
    AEF was the common abbreviation for French Equatorial Africa, a former federation of French colonial territories in central Africa.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d5e8edc8190a7a394ee832bac9f completed March 22, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14199f024819089af02b1c0eebfad completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.