Triple
T20450874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Science Quarterly Bible Lessons |
E501646
|
entity |
| Predicate | availableInTranslation |
P65939
|
FINISHED |
| Object | multiple 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: multiple languages | Statement: [Christian Science Quarterly Bible Lessons, availableInTranslation, multiple languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: availableInTranslation Context triple: [Christian Science Quarterly Bible Lessons, availableInTranslation, multiple languages]
-
A.
hasTranslation
Indicates that one entity is a translation or translated version of another entity in a different language.
-
B.
languageOfTranslations
Indicates that one entity is the language into which another entity (such as a text or work) has been translated.
-
C.
translatedIn
Indicates that a work, text, or content has been rendered from its original language into another specified language or linguistic form.
-
D.
widelyTranslated
chosen
Indicates that a work has been translated into many different languages or versions, reflecting broad international dissemination.
-
E.
hasWorkTranslatedInto
Indicates that a work has been translated into a specified language or target work.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d0145d881908587b56c52aeea09 |
completed | April 20, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:32 a.m.