Triple
T2876553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luther's Small Catechism |
E56891
|
entity |
| Predicate | translationStatus |
P32528
|
FINISHED |
| Object | translated into many 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: translated into many languages | Statement: [Luther's Small Catechism, translationStatus, translated into many languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: translationStatus Context triple: [Luther's Small Catechism, translationStatus, translated into many languages]
-
A.
translationCount
chosen
Indicates the number of translations that exist or have been produced for a given item or entity.
-
B.
translationPublished
Indicates that a translated version of a work has been formally released or made publicly available.
-
C.
translationDirection
Indicates the source and target languages involved in a translation, specifying the direction from the original language to the translated language.
-
D.
translationTargetLanguage
Indicates the language into which content is being or has been translated.
-
E.
translationMethod
Indicates the technique or process used to translate content from one language or form to another.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe0061d048190bb1e5a01e7ceb0e2 |
completed | March 7, 2026, 8:21 a.m. |
| PD | Predicate disambiguation | batch_69abdd142e4c8190b424cb0c5ff40d04 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:03 p.m.