Triple

T6145082
Position Surface form Disambiguated ID Type / Status
Subject Chez Scheme E137054 entity
Predicate hasVariant P455 FINISHED
Object Petite Chez Scheme E137054 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: Petite Chez Scheme | Statement: [Chez Scheme, hasVariant, Petite Chez Scheme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petite Chez Scheme
Context triple: [Chez Scheme, hasVariant, Petite Chez Scheme]
  • A. Chez Scheme chosen
    Chez Scheme is a high-performance, optimizing implementation of the Scheme programming language widely used for both research and production systems.
  • B. Gambit Scheme
    Gambit Scheme is a high-performance implementation of the Scheme programming language, known for its efficient compiler, support for concurrent and distributed programming, and ability to generate C code for portability.
  • C. MiniScheme
    MiniScheme is a minimalist implementation of the Scheme programming language that served as a conceptual and design inspiration for TinyScheme.
  • D. PLT Scheme
    PLT Scheme is the original name of the programming language and environment that later evolved into Racket, known for its powerful support of functional and language-oriented programming.
  • E. CB Scheme
    CB Scheme is an international system for mutual recognition of product safety test reports and certificates, facilitating global market access and harmonization of standards compliance.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cb645508190aea2d77c9de174ba completed March 22, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135fe8ae48190bfb20c335c7d32be completed March 23, 2026, 12:45 p.m.
Created at: March 22, 2026, 4:16 p.m.