Triple

T724926
Position Surface form Disambiguated ID Type / Status
Subject College Art Association E14703 entity
Predicate abbreviation P43 FINISHED
Object CAA
CAA is a leading professional organization in the United States dedicated to advancing the history, practice, and teaching of the visual arts and design.
 E86773 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: CAA | Statement: [College Art Association, abbreviation, CAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CAA
Context triple: [College Art Association, abbreviation, CAA]
  • A. CAA
    CAA is the commonly used abbreviation for the U.S. Clean Air Act, a landmark federal law regulating air emissions to protect public health and the environment.
  • B. ACA
    ACA is a professional scientific organization that promotes the study and application of crystallography and structural science, primarily in North America.
  • C. CAC
    The Central American Cup (CAC) is a regional football tournament featuring national teams from Central America competing for the championship title.
  • D. CLA
    The Mercedes-Benz CLA is a compact luxury four-door coupé known for its sleek styling, advanced technology, and entry-level positioning within the brand’s lineup.
  • E. CAF
    CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
  • 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: CAA
Triple: [College Art Association, abbreviation, CAA]
Generated description
CAA is a leading professional organization in the United States dedicated to advancing the history, practice, and teaching of the visual arts and design.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CAA
Target entity description: CAA is a leading professional organization in the United States dedicated to advancing the history, practice, and teaching of the visual arts and design.
  • A. CAA
    CAA is the commonly used abbreviation for the U.S. Clean Air Act, a landmark federal law regulating air emissions to protect public health and the environment.
  • B. ACA
    ACA is a professional scientific organization that promotes the study and application of crystallography and structural science, primarily in North America.
  • C. CAC
    The Central American Cup (CAC) is a regional football tournament featuring national teams from Central America competing for the championship title.
  • D. CLA
    The Mercedes-Benz CLA is a compact luxury four-door coupé known for its sleek styling, advanced technology, and entry-level positioning within the brand’s lineup.
  • E. CAF
    CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a6ab508190b70a05a9d77829a5 completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6375c16488190a8509e1e2b5c6a7d completed March 3, 2026, 1:20 a.m.
NEDg Description generation batch_69a63bb28e1c8190bb363ef7d389dddd completed March 3, 2026, 1:38 a.m.
NED2 Entity disambiguation (via description) batch_69a63c2ac310819095eacf5017a637f2 completed March 3, 2026, 1:40 a.m.
Created at: March 1, 2026, 7:37 p.m.