Triple
T16149989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LCL |
E391884
|
entity |
| Predicate | translationLanguageSide |
P121323
|
FINISHED |
| Object | English translation on right page |
—
|
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: English translation on right page | Statement: [LCL, translationLanguageSide, English translation on right page]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: translationLanguageSide Context triple: [LCL, translationLanguageSide, English translation on right page]
-
A.
translationDirection
Indicates the source and target languages involved in a translation, specifying the direction from the original language to the translated language.
-
B.
translationTargetLanguage
Indicates the language into which content is being or has been translated.
-
C.
translationSource
Indicates that one entity serves as the original text or content from which another entity is translated.
-
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. chosen
Provenance (4 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d9724808190a8332987583a345a |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1835b64948190ae1d2a9d4cc64acf |
completed | April 17, 2026, 12:48 a.m. |
Created at: April 10, 2026, 5:01 a.m.