Triple

T19685078
Position Surface form Disambiguated ID Type / Status
Subject European System of Financial Supervision E472690 entity
Predicate abbreviation P43 FINISHED
Object ESFS 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: ESFS | Statement: [European System of Financial Supervision, abbreviation, ESFS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESFS
Context triple: [European System of Financial Supervision, abbreviation, ESFS]
  • A. ESFS chosen
    ESFS is the acronym for the European System of Financial Supervision, the EU’s framework of supervisory authorities and bodies that oversee the stability and proper functioning of its financial system.
  • B. ESF
    ESF is the European Union’s main financial instrument for supporting employment, social inclusion, and skills development across member states.
  • C. ESF
    ESF is a U.S. Treasury fund used to stabilize the value of the dollar and conduct foreign exchange and financial interventions in international markets.
  • D. ESF
    ESF is a specialized college within the State University of New York system focused on environmental science, natural resources, and related fields.
  • E. EFS
    EFS is a Windows feature that provides built-in file-level encryption to protect data stored on NTFS volumes.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641c33b94819081bdeb56910f6ff8 completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.