Triple

T23394539
Position Surface form Disambiguated ID Type / Status
Subject R4RS E559317 entity
Predicate successor P78 FINISHED
Object R5RS NE NERFINISHED

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: R5RS | Statement: [R4RS, successor, R5RS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R5RS
Context triple: [R4RS, successor, R5RS]
  • A. R6RS
    R6RS is the sixth revision of the Scheme programming language standard, defining its core language features, libraries, and semantics.
  • B. R4RS
    R4RS is the fourth revised report on the Scheme programming language standard, defining its core syntax, semantics, and standard procedures.
  • C. R3RS
    R3RS is the third revision of the Revised^n Report on the Algorithmic Language Scheme, specifying a standardized version of the Scheme programming language.
  • D. RnRS
    RnRS is the standard specification document series that formally defines the Scheme programming language.
  • E. Scheme R5RS chosen
    Scheme R5RS is the fifth revised report of the Scheme programming language standard, defining its core syntax, semantics, and standard libraries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a49eb3b881909da7f1c47c67c81f completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:36 p.m.