Triple

T2725347
Position Surface form Disambiguated ID Type / Status
Subject Class Action Fairness Act E60177 entity
Predicate hasShortName P1354 FINISHED
Object CAFA
CAFA is a U.S. federal law that expanded federal jurisdiction over large class action lawsuits to address perceived abuses in state courts.
 E292464 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: CAFA | Statement: [Class Action Fairness Act, hasShortName, CAFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CAFA
Context triple: [Class Action Fairness Act, hasShortName, CAFA]
  • A. CAF
    CAF is the Confederation of African Football, the governing body for association football in Africa and one of FIFA’s six continental confederations.
  • B. CAF
    CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
  • C. CAF
    CAF is the commonly used abbreviation for the Chief of Air Force, the professional head of an air force service.
  • D. CAF
    CAF is the commonly used acronym for the Canadian Armed Forces, the unified military organization responsible for defending Canada and supporting international peace and security operations.
  • E. CAF
    CAF is an abbreviation that can refer to various organizations or groups, most notably the Cactus Air Force, a World War II Allied air unit based on Guadalcanal.
  • 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: CAFA
Triple: [Class Action Fairness Act, hasShortName, CAFA]
Generated description
CAFA is a U.S. federal law that expanded federal jurisdiction over large class action lawsuits to address perceived abuses in state courts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CAFA
Target entity description: CAFA is a U.S. federal law that expanded federal jurisdiction over large class action lawsuits to address perceived abuses in state courts.
  • A. CAF
    CAF is the Confederation of African Football, the governing body for association football in Africa and one of FIFA’s six continental confederations.
  • B. CAF
    CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
  • C. CAF
    CAF is the commonly used acronym for the Canadian Armed Forces, the unified military organization responsible for defending Canada and supporting international peace and security operations.
  • D. CAF
    CAF is an abbreviation that can refer to various organizations or groups, most notably the Cactus Air Force, a World War II Allied air unit based on Guadalcanal.
  • E. CAF
    CAF is the commonly used abbreviation for the Chief of Air Force, the professional head of an air force service.
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdacd7e24819084a620063e3f7aa4 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6982974819089d0ef4a59cc4085 completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb7166d788190ac219fe3c3e164fe completed March 10, 2026, 6:15 a.m.
NED2 Entity disambiguation (via description) batch_69afb7acf3588190813bde4428dfe5f4 completed March 10, 2026, 6:18 a.m.
Created at: March 6, 2026, 9:55 p.m.