Triple

T1621506
Position Surface form Disambiguated ID Type / Status
Subject Common Language Specification E35040 entity
Predicate hasAbbreviation P43 FINISHED
Object 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.
E182436 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: CLS | Statement: [Common Language Specification, hasAbbreviation, CLS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CLS
Context triple: [Common Language Specification, hasAbbreviation, CLS]
  • A. 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.
  • B. CLCS
    CLCS is a United Nations body of experts that evaluates and makes recommendations on coastal states’ claims to the outer limits of their continental shelves under the UN Convention on the Law of the Sea.
  • C. 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.
  • D. CL
    CL is the common abbreviation for Japan’s professional baseball Central League.
  • E. CLAS
    CLAS is a major particle detector at the Thomas Jefferson National Accelerator Facility used for studying the structure and interactions of subatomic particles.
  • 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: CLS
Triple: [Common Language Specification, hasAbbreviation, CLS]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CLS
Target entity description: 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.
  • A. 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.
  • B. CLCS
    CLCS is a United Nations body of experts that evaluates and makes recommendations on coastal states’ claims to the outer limits of their continental shelves under the UN Convention on the Law of the Sea.
  • C. 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.
  • D. CL
    CL is the common abbreviation for Japan’s professional baseball Central League.
  • E. CLAS
    CLAS is a major particle detector at the Thomas Jefferson National Accelerator Facility used for studying the structure and interactions of subatomic particles.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909b1fc788190b38c0aa4ccc2e953 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51d2cbb481908bc74cecdc023547 completed March 8, 2026, 10:39 a.m.
NEDg Description generation batch_69ad5277c64481909ffe991fd4579d0d completed March 8, 2026, 10:41 a.m.
NED2 Entity disambiguation (via description) batch_69ad52f8dda48190969a31b85b1d5134 completed March 8, 2026, 10:44 a.m.
Created at: March 4, 2026, 7:28 p.m.