Triple

T10445610
Position Surface form Disambiguated ID Type / Status
Subject Cloetta E246278 entity
Predicate tickerSymbol P1447 FINISHED
Object CLA
CLA is the stock ticker symbol for Cloetta, a Swedish confectionery company known for producing chocolates, candies, and other sweets.
 E864252 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: CLA | Statement: [Cloetta, tickerSymbol, CLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CLA
Context triple: [Cloetta, tickerSymbol, CLA]
  • A. CLA
    The Mercedes-Benz CLA is a compact luxury four-door coupé known for its sleek styling, advanced technology, and entry-level positioning within the brand’s lineup.
  • B. CLA
    CLA is a former national professional organization that represented and supported libraries and library workers across Canada.
  • C. CLA
    CLA is an abbreviation commonly used for a College of Liberal Arts, an academic division offering a broad education in the humanities, social sciences, and related fields.
  • D. CLS
    The Mercedes-Benz CLS is a luxury four-door coupé known for pioneering the modern coupé-sedan design with sleek styling and high-end performance.
  • E. CLS
    CLS is a set of rules in the .NET framework that defines a subset of common language features to ensure interoperability among different .NET languages.
  • 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: CLA
Triple: [Cloetta, tickerSymbol, CLA]
Generated description
CLA is the stock ticker symbol for Cloetta, a Swedish confectionery company known for producing chocolates, candies, and other sweets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CLA
Target entity description: CLA is the stock ticker symbol for Cloetta, a Swedish confectionery company known for producing chocolates, candies, and other sweets.
  • A. CLA
    The Mercedes-Benz CLA is a compact luxury four-door coupé known for its sleek styling, advanced technology, and entry-level positioning within the brand’s lineup.
  • B. CLA
    CLA is a former national professional organization that represented and supported libraries and library workers across Canada.
  • C. CLA
    CLA is an abbreviation commonly used for a College of Liberal Arts, an academic division offering a broad education in the humanities, social sciences, and related fields.
  • D. CLS
    The Mercedes-Benz CLS is a luxury four-door coupé known for pioneering the modern coupé-sedan design with sleek styling and high-end performance.
  • E. CLS
    CLS is a set of rules in the .NET framework that defines a subset of common language features to ensure interoperability among different .NET languages.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbf81508190a160edea85105d3a completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87eeae8788190b63534fa4f942ead completed April 10, 2026, 4:39 a.m.
NEDg Description generation batch_69d886c3fdcc8190a67a7f7788b8a2e8 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dc15ab481909011c5de93bbab14 completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:16 p.m.