Triple

T22710321
Position Surface form Disambiguated ID Type / Status
Subject ABCL E561573 entity
Predicate supportsStandard P1587 FINISHED
Object Common Lisp 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: Common Lisp | Statement: [ABCL, supportsStandard, Common Lisp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Common Lisp
Context triple: [ABCL, supportsStandard, Common Lisp]
  • A. Common Lisp chosen
    Common Lisp is a powerful, multi-paradigm dialect of the Lisp programming language standardised in the 1980s, known for its rich macro system, dynamic typing, and suitability for large-scale, extensible software systems.
  • 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. Common Lisp Object System
    Common Lisp Object System is the object-oriented programming subsystem of Common Lisp, providing multiple inheritance, generic functions, and a powerful metaobject protocol.
  • D. CLISP
    CLISP is a portable, open-source implementation of the Common Lisp programming language featuring an interpreter, compiler, and extensive standard library support.
  • 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.