Triple
T23746094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avenue of Peace |
E586817
|
entity |
| Predicate | translationOfLanguage |
P21151
|
FINISHED |
| Object | Russian |
—
|
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: Russian | Statement: [Avenue of Peace, translationOfLanguage, Russian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: translationOfLanguage Context triple: [Avenue of Peace, translationOfLanguage, Russian]
-
A.
translationTargetLanguage
chosen
Indicates the language into which content is being or has been translated.
-
B.
textTranslation
Indicates a relationship where one text is rendered into another language or form while preserving its original meaning.
-
C.
translationOn
Indicates that one entity is a translation of another entity, typically expressing the same content in a different language or linguistic form.
-
D.
translationProperty
Indicates a relationship where one entity serves as a translated counterpart or translation-specific attribute of another entity.
-
E.
languageTranslatedFrom
Indicates that a language is the source/original language from which content has been translated into another 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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bcbded748190b305fc39ed71fa3f |
completed | April 29, 2026, 8:09 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:12 p.m.