Triple
T87153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The History of the Communist Party of the Soviet Union (Bolsheviks): Short Course |
E1751
|
entity |
| Predicate | translatedInto |
P2303
|
FINISHED |
| Object | many foreign languages |
—
|
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: many foreign languages | Statement: [The History of the Communist Party of the Soviet Union (Bolsheviks): Short Course, translatedInto, many foreign languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: translatedInto Context triple: [The History of the Communist Party of the Soviet Union (Bolsheviks): Short Course, translatedInto, many foreign languages]
-
A.
hasTranslation
chosen
Indicates that one entity is a translation or translated version of another entity in a different language.
-
B.
languageBranch
Indicates that one language belongs to, or is classified under, a broader linguistic branch or subgroup.
-
C.
draftedInLanguage
Indicates that a document, text, or content was originally written or composed using a specific natural language.
-
D.
translationOfMotto
Indicates that one motto is a translation of another motto in a different language.
-
E.
usedInLanguage
Indicates that something (such as a word, expression, or symbol) is employed or occurs within a particular language.
- 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a2503d304c8190a0034ffa4a38a501 |
completed | Feb. 28, 2026, 2:17 a.m. |
| PD | Predicate disambiguation | batch_69a24eb6da2c8190a33d144d219f7abe |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.