Triple

T7858560
Position Surface form Disambiguated ID Type / Status
Subject CLS (.NET) E182436 entity
Predicate acronym P43 FINISHED
Object CLS E182436 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: CLS | Statement: [CLS (.NET), acronym, CLS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CLS
Context triple: [CLS (.NET), acronym, 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. CLS chosen
    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.
  • C. 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.
  • D. CLA
    CLA is a former national professional organization that represented and supported libraries and library workers across Canada.
  • E. 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.
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a787c8c8190bcd9ed76cc7aa4c5 completed March 31, 2026, 12:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b38d7e08190a3459d1e0c6f4c6d completed March 31, 2026, 5:27 a.m.
Created at: March 30, 2026, 4:52 p.m.