Triple

T3820582
Position Surface form Disambiguated ID Type / Status
Subject Regions Financial Corporation E84361 entity
Predicate tickerSymbol P1447 FINISHED
Object RF
RF is the stock ticker symbol for Regions Financial Corporation, a major U.S. regional bank headquartered in Birmingham, Alabama.
 E391852 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: RF | Statement: [Regions Financial Corporation, tickerSymbol, RF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RF
Context triple: [Regions Financial Corporation, tickerSymbol, RF]
  • A. RF
    RF was the squadron code used to identify No. 303 Polish Fighter Squadron, a renowned Polish unit that fought alongside the Royal Air Force during World War II.
  • B. .rf
    .rf is the Cyrillic country-code top-level domain representing the Russian Federation on the internet.
  • C. RFA
    RFA is the ship prefix used by vessels of the Royal Fleet Auxiliary, the civilian-manned fleet that supports the United Kingdom’s Royal Navy with logistical and operational services.
  • D. RMF
    RMF (Resource Measurement Facility) is an IBM performance monitoring and reporting tool used to analyze and manage system resources on z/OS mainframe environments.
  • E. RCF
    RCF is a historic French multi-sport club based in Paris, best known for its football and rugby sections.
  • 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: RF
Triple: [Regions Financial Corporation, tickerSymbol, RF]
Generated description
RF is the stock ticker symbol for Regions Financial Corporation, a major U.S. regional bank headquartered in Birmingham, Alabama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RF
Target entity description: RF is the stock ticker symbol for Regions Financial Corporation, a major U.S. regional bank headquartered in Birmingham, Alabama.
  • A. RF
    RF was the squadron code used to identify No. 303 Polish Fighter Squadron, a renowned Polish unit that fought alongside the Royal Air Force during World War II.
  • B. .rf
    .rf is the Cyrillic country-code top-level domain representing the Russian Federation on the internet.
  • C. RFA
    RFA is the ship prefix used by vessels of the Royal Fleet Auxiliary, the civilian-manned fleet that supports the United Kingdom’s Royal Navy with logistical and operational services.
  • D. RMF
    RMF (Resource Measurement Facility) is an IBM performance monitoring and reporting tool used to analyze and manage system resources on z/OS mainframe environments.
  • E. RCF
    RCF is a historic French multi-sport club based in Paris, best known for its football and rugby sections.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeea61a63c819086e16b89d2ea2157 completed March 9, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb4998248190b4174dd80a8e790c completed March 14, 2026, 6:08 a.m.
NEDg Description generation batch_69b4ffcf7e24819098cf2e46b92bed4a completed March 14, 2026, 6:27 a.m.
NED2 Entity disambiguation (via description) batch_69b500596e308190a31e44c24de3f31d completed March 14, 2026, 6:29 a.m.
Created at: March 9, 2026, 3:17 p.m.