Triple

T480893
Position Surface form Disambiguated ID Type / Status
Subject Coursera E9162 entity
Predicate stockTicker P1447 FINISHED
Object COUR
COUR is the stock ticker symbol for Coursera, a major online learning platform offering courses, certificates, and degrees from universities and companies worldwide.
E59929 NE FINISHED

How this triple was built (5 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: COUR | Statement: [Coursera, stockTicker, COUR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COUR
Context triple: [Coursera, stockTicker, COUR]
  • A. Sup Ct
    Sup Ct is the standard legal abbreviation for the New York Supreme Court, the state’s trial-level court of general jurisdiction.
  • B. New Court
    New Court is a prominent quadrangle and set of college buildings at Emmanuel College, Cambridge, known for its historic architecture and role in student life.
  • C. SCJ
    SCJ is the commonly used abbreviation for the Supreme Court of Japan, the country's highest judicial authority.
  • D. CUL
    CUL is the main research library of the University of Cambridge and one of the largest and most important academic libraries in the United Kingdom.
  • E. La Justice
    La Justice is a philosophical poem by French writer and Nobel laureate Sully Prudhomme that explores themes of law, morality, and the nature of justice.
  • 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: COUR
Triple: [Coursera, stockTicker, COUR]
Generated description
COUR is the stock ticker symbol for Coursera, a major online learning platform offering courses, certificates, and degrees from universities and companies worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: COUR
Target entity description: COUR is the stock ticker symbol for Coursera, a major online learning platform offering courses, certificates, and degrees from universities and companies worldwide.
  • A. Sup Ct
    Sup Ct is the standard legal abbreviation for the New York Supreme Court, the state’s trial-level court of general jurisdiction.
  • B. New Court
    New Court is a prominent quadrangle and set of college buildings at Emmanuel College, Cambridge, known for its historic architecture and role in student life.
  • C. SCJ
    SCJ is the commonly used abbreviation for the Supreme Court of Japan, the country's highest judicial authority.
  • D. CUL
    CUL is the main research library of the University of Cambridge and one of the largest and most important academic libraries in the United Kingdom.
  • E. La Justice
    La Justice is a philosophical poem by French writer and Nobel laureate Sully Prudhomme that explores themes of law, morality, and the nature of justice.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stockTicker
Context triple: [Coursera, stockTicker, COUR]
  • A. tickerSymbol chosen
    Indicates the association between a financial instrument or company and its unique abbreviated code used for trading on a securities exchange.
  • B. stockIndex
    Indicates a relationship where a stock market index tracks or represents the aggregated performance of a selected group of stocks.
  • C. hasStockExchange
    Indicates that an entity is associated with or listed on a particular stock exchange.
  • D. sharesSymbol
    Indicates that two entities use or are associated with the same identifying symbol (such as a ticker, code, or notation).
  • E. tickerFor
    Indicates that one entity is the stock ticker symbol used to uniquely identify another entity (typically a publicly traded company or security) in financial markets.
  • F. None of above.

Provenance (6 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_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f058ebe48190aaa0a829b21f75fa completed Feb. 28, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69a46c60a02081908bbb7b4ee12903a6 completed March 1, 2026, 4:42 p.m.
NEDg Description generation batch_69a46cc070f48190a58b65b67efa25de completed March 1, 2026, 4:43 p.m.
NED2 Entity disambiguation (via description) batch_69a46d2002d8819086691b73f8fbaae2 completed March 1, 2026, 4:45 p.m.
PD Predicate disambiguation batch_69a2edf321288190b5d560f75782c2cb completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.