Triple

T1160232
Position Surface form Disambiguated ID Type / Status
Subject Scheme E24474 entity
Predicate standardVersion P12984 FINISHED
Object R6RS E131744 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: R6RS | Statement: [Scheme, standardVersion, R6RS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R6RS
Context triple: [Scheme, standardVersion, R6RS]
  • A. 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.
  • B. Racket
    Racket is a modern, multi-paradigm programming language in the Lisp/Scheme family, designed for language-oriented programming, scripting, and education.
  • C. GNU Guile
    GNU Guile is the official extension language platform of the GNU Project, providing a Scheme-based scripting and programming environment for extending and customizing applications.
  • D. Scheme
    Scheme is a minimalist, lexically scoped dialect of the Lisp programming language known for its elegant functional programming model and powerful macro system.
  • E. Revised^n Report on the Algorithmic Language Scheme chosen
    The Revised^n Report on the Algorithmic Language Scheme is the series of formal documents that define and evolve the official specification of the Scheme programming language.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bf13ab648190931dea78202096e4 completed March 1, 2026, 10:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac667d2bdc8190b7d797683a4d3fe8 completed March 7, 2026, 5:55 p.m.
Created at: March 1, 2026, 7:45 p.m.