Triple
T5513706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commodore 64 |
E144628
|
entity |
| Predicate | programmingLanguageInRom |
P1592
|
FINISHED |
| Object | Microsoft BASIC derivative |
—
|
LITERAL 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: Microsoft BASIC derivative | Statement: [Commodore 64, programmingLanguageInRom, Microsoft BASIC derivative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programmingLanguageInRom Context triple: [Commodore 64, programmingLanguageInRom, Microsoft BASIC derivative]
-
A.
languageOfProgramming
Indicates that one entity is a programming language used to implement, develop, or script the other entity.
-
B.
programmingLanguage
chosen
Indicates that one entity is a programming language used to create, control, or interact with the other entity.
-
C.
languageOfCode
Indicates that a programming code artifact is written in, or uses, a particular programming language.
-
D.
programmingLanguageCompiled
Indicates that a programming language is translated into machine code by a compiler before its programs are executed.
-
E.
usedInProgrammingLanguages
Indicates that something (such as a concept, construct, or feature) is employed or implemented within one or more programming languages.
- F. None of above.
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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f599d0881909ce86fcc45d4d920 |
completed | March 22, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69c01b07bde08190b3933b96bdc70dd5 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:33 p.m.