Triple

T248000
Position Surface form Disambiguated ID Type / Status
Subject African Union E5080 entity
Predicate hasRegionalEconomicCommunities P2785 FINISHED
Object EAC E6870 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: EAC | Statement: [African Union, hasRegionalEconomicCommunities, EAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EAC
Context triple: [African Union, hasRegionalEconomicCommunities, EAC]
  • A. EAC chosen
    The EAC (East African Community) is a regional intergovernmental organization that promotes economic integration and cooperation among several East African countries.
  • B. ECA
    The Economic Cooperation Administration (ECA) was the U.S. government agency responsible for administering the Marshall Plan to aid European economic recovery after World War II.
  • C. ECA
    ECA is a regional United Nations commission focused on promoting economic and social development across the African continent.
  • D. AEC
    AEC was the common abbreviation for the United States Atomic Energy Commission, the federal agency that oversaw nuclear energy development and regulation in the mid-20th century.
  • E. AEC
    AEC is a European network and advocacy organization representing higher music education institutions such as conservatoires, academies, and music universities.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a260c592cc8190bc642fcd248a1f1b completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36cf64798819096218d320b00a3a9 completed Feb. 28, 2026, 10:32 p.m.
Created at: Feb. 28, 2026, 2:54 a.m.