Triple
T3691239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turtle Blocks |
E78347
|
entity |
| Predicate | hasProgrammingParadigm |
P11868
|
FINISHED |
| Object | visual programming |
—
|
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: visual programming | Statement: [Turtle Blocks, hasProgrammingParadigm, visual programming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProgrammingParadigm Context triple: [Turtle Blocks, hasProgrammingParadigm, visual programming]
-
A.
languageParadigm
Indicates a relationship where a programming language follows, supports, or is categorized under a particular programming paradigm.
-
B.
programmingLanguage
Indicates that one entity is a programming language used to create, control, or interact with the other entity.
-
C.
supportedParadigm
chosen
Indicates that one entity (such as a tool, language, or system) provides functionality or features that enable or are compatible with a particular paradigm or methodological approach.
-
D.
hasProgrammingFrom
Indicates that something derives its programming, configuration, or behavioral instructions from a specified source.
-
E.
languageOfProgramming
Indicates that one entity is a programming language used to implement, develop, or script the other entity.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4e783a88190b2837a68b8723a25 |
completed | March 8, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69adb84dc5808190850aa6975cb09e27 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.