Triple

T1303788
Position Surface form Disambiguated ID Type / Status
Subject Latin American Reserve Fund E27826 entity
Predicate alsoKnownAs P39 FINISHED
Object FLAR E148795 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: FLAR | Statement: [Latin American Reserve Fund, alsoKnownAs, FLAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FLAR
Context triple: [Latin American Reserve Fund, alsoKnownAs, FLAR]
  • A. FLAR chosen
    FLAR is a regional financial organization that provides balance-of-payments support, reserve pooling, and financial stability assistance to its Latin American member countries.
  • B. FA
    FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
  • C. Flo
    Flo was one of Jane Goodall’s most famous Gombe chimpanzees, known as a highly influential matriarch whose life and family were central to long-term studies of chimpanzee behavior and social structure.
  • D. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • E. FAR
    FAR is the acronym for Cuba’s national military organization, the Revolutionary Armed Forces.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c116d7d881908ee631258f80980e completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbae9c8a88190bf9de136a41c82a4 completed March 7, 2026, 11:55 p.m.
Created at: March 1, 2026, 7:51 p.m.