Triple

T3479345
Position Surface form Disambiguated ID Type / Status
Subject Richemont E73451 entity
Predicate tickerSymbol P1447 FINISHED
Object CFR
CFR is the stock ticker symbol for Compagnie Financière Richemont SA, the Swiss luxury goods holding company known for brands like Cartier and Montblanc.
 E360614 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: CFR | Statement: [Richemont, tickerSymbol, CFR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CFR
Context triple: [Richemont, tickerSymbol, CFR]
  • A. CFR
    CFR is the commonly used abbreviation for the Code of Federal Regulations, the codification of the general and permanent rules published in the U.S. Federal Register by federal government departments and agencies.
  • B. CFRG
    CFRG (Crypto Forum Research Group) is an IRTF research group that focuses on the development, analysis, and standardization of modern cryptographic mechanisms used in Internet protocols.
  • C. CFAC
    CFAC is the abbreviated designation commonly used for the Air Force Training Command.
  • D. RCF
    RCF is a historic French multi-sport club based in Paris, best known for its football and rugby sections.
  • E. CEF
    CEF is the abbreviation for the Canadian Expeditionary Force, the field force of the Canadian Army raised for service overseas during the First World War.
  • 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: CFR
Triple: [Richemont, tickerSymbol, CFR]
Generated description
CFR is the stock ticker symbol for Compagnie Financière Richemont SA, the Swiss luxury goods holding company known for brands like Cartier and Montblanc.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CFR
Target entity description: CFR is the stock ticker symbol for Compagnie Financière Richemont SA, the Swiss luxury goods holding company known for brands like Cartier and Montblanc.
  • A. CFR
    CFR is the commonly used abbreviation for the Code of Federal Regulations, the codification of the general and permanent rules published in the U.S. Federal Register by federal government departments and agencies.
  • B. CFRG
    CFRG (Crypto Forum Research Group) is an IRTF research group that focuses on the development, analysis, and standardization of modern cryptographic mechanisms used in Internet protocols.
  • C. CFAC
    CFAC is the abbreviated designation commonly used for the Air Force Training Command.
  • D. RCF
    RCF is a historic French multi-sport club based in Paris, best known for its football and rugby sections.
  • E. CEF
    CEF is the abbreviation for the Canadian Expeditionary Force, the field force of the Canadian Army raised for service overseas during the First World War.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb5ca73c81908256e3339a3a6f9f completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681b30b48190918d2821a8383229 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b368b597bc8190a51aba91164a8db8 completed March 13, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69b3696c41808190a30cb55b698da47b completed March 13, 2026, 1:33 a.m.
Created at: March 8, 2026, 3:17 p.m.