Triple

T14980835
Position Surface form Disambiguated ID Type / Status
Subject Franco-German Youth Office E373569 entity
Predicate shortName P43 FINISHED
Object OFAJ
OFAJ is the acronym for the Franco-German Youth Office, a binational organization that promotes exchanges and cooperation between young people in France and Germany.
 E1130817 NE FINISHED

How this triple was built (4 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: OFAJ | Statement: [Franco-German Youth Office, shortName, OFAJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OFAJ
Context triple: [Franco-German Youth Office, shortName, OFAJ]
  • A. OFR
    OFR is a U.S. Treasury Department bureau that collects and analyzes financial data to support oversight of the stability of the financial system.
  • B. 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.
  • C. FAJ
    FAJ is the commonly used abbreviation for the Cariduros de Fajardo, a professional basketball team based in Fajardo, Puerto Rico.
  • D. OFU
    OFU is the IATA airport code for Ofu Airport, a small airfield serving the island of Ofu in American Samoa.
  • E. KFA
    KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: OFAJ
Triple: [Franco-German Youth Office, shortName, OFAJ]
Generated description
OFAJ is the acronym for the Franco-German Youth Office, a binational organization that promotes exchanges and cooperation between young people in France and Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OFAJ
Target entity description: OFAJ is the acronym for the Franco-German Youth Office, a binational organization that promotes exchanges and cooperation between young people in France and Germany.
  • A. OFR
    OFR is a U.S. Treasury Department bureau that collects and analyzes financial data to support oversight of the stability of the financial system.
  • B. 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.
  • C. FAJ
    FAJ is the commonly used abbreviation for the Cariduros de Fajardo, a professional basketball team based in Fajardo, Puerto Rico.
  • D. OFU
    OFU is the IATA airport code for Ofu Airport, a small airfield serving the island of Ofu in American Samoa.
  • E. KFA
    KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
  • F. None of above. chosen

Provenance (5 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6fcebf481909f72cab577560d82 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bef015c8190bdfb1b9144b2a55c completed May 9, 2026, 1:20 a.m.
NEDg Description generation batch_69fe8fec76848190b83c6399aaacda76 completed May 9, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69fe9090d23c8190b8a90e8ad8dacade completed May 9, 2026, 1:40 a.m.
Created at: April 10, 2026, 2:52 a.m.