Triple

T22360201
Position Surface form Disambiguated ID Type / Status
Subject Corel Corporation E552758 entity
Predicate tickerSymbol P1447 FINISHED
Object CREL
CREL is the stock ticker symbol for Corel Corporation, a software company best known for products like CorelDRAW and WordPerfect.
 E1532424 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: CREL | Statement: [Corel Corporation, tickerSymbol, CREL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CREL
Context triple: [Corel Corporation, tickerSymbol, CREL]
  • A. Crey
    Crey is a shortened form or nickname for the given name Creighton.
  • B. CRUE
    CRUE is the main association representing Spanish universities, coordinating and promoting their interests in higher education and research.
  • C. Kreli
    Kreli was a Xhosa military leader who played a significant role in resisting British colonial forces during the Ninth Frontier War in South Africa.
  • D. A9 (CREL)
    A9 (CREL) is a major ring road motorway in the Lisbon metropolitan area that helps divert traffic around the city and connects several surrounding municipalities, including Odivelas.
  • E. CRL
    CRL is the IATA airport code for Brussels South Charleroi Airport, a major low-cost carrier hub serving the Brussels region in Belgium.
  • 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: CREL
Triple: [Corel Corporation, tickerSymbol, CREL]
Generated description
CREL is the stock ticker symbol for Corel Corporation, a software company best known for products like CorelDRAW and WordPerfect.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CREL
Target entity description: CREL is the stock ticker symbol for Corel Corporation, a software company best known for products like CorelDRAW and WordPerfect.
  • A. Crey
    Crey is a shortened form or nickname for the given name Creighton.
  • B. CRUE
    CRUE is the main association representing Spanish universities, coordinating and promoting their interests in higher education and research.
  • C. Kreli
    Kreli was a Xhosa military leader who played a significant role in resisting British colonial forces during the Ninth Frontier War in South Africa.
  • D. A9 (CREL)
    A9 (CREL) is a major ring road motorway in the Lisbon metropolitan area that helps divert traffic around the city and connects several surrounding municipalities, including Odivelas.
  • E. CRL
    CRL is the IATA airport code for Brussels South Charleroi Airport, a major low-cost carrier hub serving the Brussels region in Belgium.
  • 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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157d3852c819082518851568e1b51 completed April 29, 2026, 12:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae061d4648190926598d971674630 completed May 18, 2026, 9:48 a.m.
NEDg Description generation batch_6a0ae17a4d48819094ea2bc413fcb19f completed May 18, 2026, 9:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0ae259a6f88190b0ecd726591710b3 completed May 18, 2026, 9:56 a.m.
Created at: April 16, 2026, 8:44 p.m.