Triple
T37277052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-1 |
E924673
|
entity |
| Predicate | languageOfCodeNotation |
P100524
|
FINISHED |
| Object | alphanumeric |
—
|
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: alphanumeric | Statement: [A-1, languageOfCodeNotation, alphanumeric]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfCodeNotation Context triple: [A-1, languageOfCodeNotation, alphanumeric]
-
A.
languageOfCode
Indicates that a programming code artifact is written in, or uses, a particular programming language.
-
B.
languageOfNotation
chosen
Indicates the language in which a given notation, script, or symbolic system is expressed or encoded.
-
C.
languageOfCodePrefix
Indicates that one entity is the programming language associated with, or identified by, the code prefix represented by the other entity.
-
D.
languageOfCodes
Indicates that a particular language is used for or associated with a given set of codes.
-
E.
languageOfProgramNote
Indicates the language in which a given program note is written.
- 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_69f76eacdd8c819094080d3991e6d37c |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a017bc21b048190b9c680013de203b6 |
completed | May 11, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_6a017aa09c4481909c3b55e0cd13501e |
completed | May 11, 2026, 6:43 a.m. |
Created at: May 3, 2026, 4:16 p.m.