Triple

T13290603
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz CLA Coupé E316550 entity
Predicate marketedAs P1395 FINISHED
Object CLA E80442 NE FINISHED

How this triple was built (2 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: [Mercedes-Benz CLA Coupé, marketedAs, CLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CLA
Context triple: [Mercedes-Benz CLA Coupé, marketedAs, CLA]
  • A. CLA chosen
    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. CLA
    CLA is the stock ticker symbol for Cloetta, a Swedish confectionery company known for producing chocolates, candies, and other sweets.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99077a8f48190b1163448a3a978a2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d6dc988190ab7183089113237f completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:27 p.m.