Triple

T6145030
Position Surface form Disambiguated ID Type / Status
Subject Chez Scheme E137054 entity
Predicate implementsStandard P1587 FINISHED
Object R7RS (partial) E567340 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: R7RS (partial) | Statement: [Chez Scheme, implementsStandard, R7RS (partial)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R7RS (partial)
Context triple: [Chez Scheme, implementsStandard, R7RS (partial)]
  • A. R7RS (small) (partial) chosen
    R7RS (small) (partial) is a subset of the Revised⁷ Report on the Algorithmic Language Scheme standard that defines a core, lightweight version of the Scheme programming language.
  • B. R4RS
    R4RS is the fourth revised report on the Scheme programming language standard, defining its core syntax, semantics, and standard procedures.
  • C. Scheme R5RS
    Scheme R5RS is the fifth revised report of the Scheme programming language standard, defining its core syntax, semantics, and standard libraries.
  • D. MIT Scheme
    MIT Scheme is a long-standing, feature-rich implementation of the Scheme programming language developed at the Massachusetts Institute of Technology, often used for teaching and research in computer science.
  • E. 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.
  • 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.