Triple

T18731780
Position Surface form Disambiguated ID Type / Status
Subject EACEA E458051 entity
Predicate acronym P43 FINISHED
Object EACEA NE NERFINISHED

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: EACEA | Statement: [EACEA, acronym, EACEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EACEA
Context triple: [EACEA, acronym, EACEA]
  • A. EACEA chosen
    EACEA is an executive agency of the European Commission responsible for managing EU funding programmes in the fields of education, culture, audiovisual, sport, citizenship, and volunteering.
  • B. ECA
    ECA is a regional United Nations commission focused on promoting economic and social development across the African continent.
  • C. 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.
  • D. 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.
  • E. ECA
    The ECA is the European Union institution responsible for auditing the EU’s finances and ensuring that its budget is correctly implemented.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d7854748190b66c4aaadfd67f29 completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:51 a.m.