Triple

T12133746
Position Surface form Disambiguated ID Type / Status
Subject U.S. Commission of Fine Arts E288998 entity
Predicate shortName P43 FINISHED
Object CFA
The CFA is a U.S. federal agency that advises the government on matters of design and aesthetics for public buildings, monuments, and spaces in the nation’s capital.
 E964007 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: CFA | Statement: [U.S. Commission of Fine Arts, shortName, CFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CFA
Context triple: [U.S. Commission of Fine Arts, shortName, CFA]
  • A. CFA
    CFA is the abbreviation for Commander Field Army, the senior British Army officer responsible for commanding the Field Army’s operational forces.
  • B. CFA
    CFA is the commonly used symbol for the West African CFA franc, a currency used by several West African countries.
  • C. CFA
    The CFA is the governing body responsible for overseeing and organizing football (soccer) activities and competitions in China.
  • D. CFA
    The Cooperative Framework Agreement on the Nile (CFA) is a multilateral treaty among Nile Basin countries intended to establish principles for equitable and sustainable use and management of the river’s waters.
  • E. CQF
    CQF is the IATA airport code for Calais–Dunkerque Airport in northern France.
  • 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: CFA
Triple: [U.S. Commission of Fine Arts, shortName, CFA]
Generated description
The CFA is a U.S. federal agency that advises the government on matters of design and aesthetics for public buildings, monuments, and spaces in the nation’s capital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CFA
Target entity description: The CFA is a U.S. federal agency that advises the government on matters of design and aesthetics for public buildings, monuments, and spaces in the nation’s capital.
  • A. CFA
    CFA is the abbreviation for Commander Field Army, the senior British Army officer responsible for commanding the Field Army’s operational forces.
  • B. CFA
    CFA is the commonly used symbol for the West African CFA franc, a currency used by several West African countries.
  • C. CFA
    The CFA is the governing body responsible for overseeing and organizing football (soccer) activities and competitions in China.
  • D. CFA
    The Cooperative Framework Agreement on the Nile (CFA) is a multilateral treaty among Nile Basin countries intended to establish principles for equitable and sustainable use and management of the river’s waters.
  • E. CQF
    CQF is the IATA airport code for Calais–Dunkerque Airport in northern France.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158c59e0819094d4522a107482b2 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f68c8ee081908a0331805f62cb0d completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fed2d57881908103ce89a365cdd4 completed May 2, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_69f600bcaf288190b6204f985d3be638 completed May 2, 2026, 1:48 p.m.
Created at: April 8, 2026, 9:49 p.m.