Triple

T15588049
Position Surface form Disambiguated ID Type / Status
Subject EJPD E374672 entity
Predicate officialAbbreviation P3776 FINISHED
Object DFJP E374673 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: DFJP | Statement: [EJPD, officialAbbreviation, DFJP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DFJP
Context triple: [EJPD, officialAbbreviation, DFJP]
  • A. DFJP chosen
    DFJP is the commonly used abbreviation for Switzerland’s Federal Department of Justice and Police, the federal ministry responsible for justice, security, and migration matters.
  • B. FJP
    FJP is the commonly used abbreviation for Egypt’s Freedom and Justice Party, a political party historically associated with the Muslim Brotherhood.
  • C. JFSA
    JFSA is the primary Japanese government regulator overseeing banking, securities, and insurance markets to ensure the stability and integrity of the country’s financial system.
  • D. FJC
    FJC is the abbreviation for the Federal Judicial Center, the education and research agency for the federal courts of the United States.
  • E. DFJW
    DFJW is the German abbreviation for the Franco-German Youth Office, a binational organization that promotes exchanges and cooperation between young people in France and Germany.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4a19708190936118d569f3436d completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c53617c8190b4367eee351dc025 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:11 a.m.