Triple

T22710301
Position Surface form Disambiguated ID Type / Status
Subject ABCL E561573 entity
Predicate conformsTo P3994 FINISHED
Object ANSI Common Lisp standard (substantial subset) 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: ANSI Common Lisp standard (substantial subset) | Statement: [ABCL, conformsTo, ANSI Common Lisp standard (substantial subset)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ANSI Common Lisp standard (substantial subset)
Context triple: [ABCL, conformsTo, ANSI Common Lisp standard (substantial subset)]
  • A. ANSI X3J13 Common Lisp
    ANSI X3J13 Common Lisp is the standardized version of the Common Lisp programming language defined by the ANSI X3J13 committee, serving as the primary specification for compliant Common Lisp implementations.
  • B. Common Lisp the Language
    Common Lisp the Language is a comprehensive reference book by Guy L. Steele Jr. that defines and documents the Common Lisp programming language.
  • C. American National Standard for Information Systems — Programming Language — Common Lisp chosen
    The American National Standard for Information Systems — Programming Language — Common Lisp is the official ANSI standard that defines the syntax, semantics, and core features of the Common Lisp programming language.
  • D. Symbolics Common Lisp implementation
    The Symbolics Common Lisp implementation is a specialized, high-performance version of the Common Lisp language designed for Symbolics Lisp machines, featuring advanced development tools and tight integration with the hardware and operating system.
  • E. CMU Common Lisp
    CMU Common Lisp is a high-performance, open-source implementation of the Common Lisp programming language developed at Carnegie Mellon University, notable for its advanced compiler and optimization capabilities.
  • 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17907d7288190bb53f76974f95cef completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:17 p.m.