Triple

T10341409
Position Surface form Disambiguated ID Type / Status
Subject European Fisheries Control Agency E243134 entity
Predicate hasAbbreviation P43 FINISHED
Object EFCA E858284 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: EFCA | Statement: [European Fisheries Control Agency, hasAbbreviation, EFCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EFCA
Context triple: [European Fisheries Control Agency, hasAbbreviation, EFCA]
  • A. EFCA chosen
    EFCA is the European Union agency responsible for coordinating fisheries control and inspection to ensure the effective enforcement of the Common Fisheries Policy.
  • 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. ECA
    ECA is the main representative body of professional football clubs in Europe, working with UEFA and other stakeholders on governance, competitions, and commercial matters.
  • E. ECA
    ECA is the commonly used acronym for the U.S. Department of State’s Bureau of Educational and Cultural Affairs, which oversees international exchange and cultural diplomacy programs.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e0a645348190af91450360a9abed completed April 7, 2026, 10:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79508427c81909db511e969bc9ddb completed April 9, 2026, 12:01 p.m.
Created at: April 6, 2026, 11:55 a.m.