Triple
T22709867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ANSI X3.226-1994 |
E561564
|
entity |
| Predicate | specifies |
P773
|
FINISHED |
| Object | Common Lisp numerical tower |
—
|
NE NERFINISHED |
How this triple was built (3 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 numerical tower | Statement: [ANSI X3.226-1994, specifies, Common Lisp numerical tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Common Lisp numerical tower Context triple: [ANSI X3.226-1994, specifies, Common Lisp numerical tower]
-
A.
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.
-
B.
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.
-
C.
Common Lisp Foundation (historical/related efforts)
The Common Lisp Foundation (historical/related efforts) was an initiative aimed at coordinating, promoting, and supporting the Common Lisp language and its community.
-
D.
Armed Bear Common Lisp
Armed Bear Common Lisp is an implementation of the Common Lisp programming language that runs on the Java Virtual Machine and integrates closely with Java.
-
E.
Embeddable Common Lisp
Embeddable Common Lisp is a lightweight, embeddable implementation of the Common Lisp programming language designed to be integrated into applications and to compile to C for portability and efficiency.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Common Lisp numerical tower Target entity description: The Common Lisp numerical tower is the language’s hierarchical system of numeric types and their relationships, encompassing integers, rationals, reals, and complex numbers with well-defined coercion and arithmetic rules.
-
A.
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.
-
B.
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.
-
C.
Common Lisp Foundation (historical/related efforts)
The Common Lisp Foundation (historical/related efforts) was an initiative aimed at coordinating, promoting, and supporting the Common Lisp language and its community.
-
D.
Armed Bear Common Lisp
Armed Bear Common Lisp is an implementation of the Common Lisp programming language that runs on the Java Virtual Machine and integrates closely with Java.
-
E.
Embeddable Common Lisp
Embeddable Common Lisp is a lightweight, embeddable implementation of the Common Lisp programming language designed to be integrated into applications and to compile to C for portability and efficiency.
- F. None of above. chosen
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_69f178d1e24881909ebd4531c0daef7f |
completed | April 29, 2026, 3:19 a.m. |
Created at: April 17, 2026, 3:17 p.m.