Triple
T33344091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Post-Office Girl |
E853748
|
entity |
| Predicate | firstEnglishTranslationLanguage |
—
|
GENERATED |
| Object | English |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstEnglishTranslationLanguage Context triple: [The Post-Office Girl, firstEnglishTranslationLanguage, English]
-
A.
firstEuropeanPublicationLanguage
Indicates the language in which an entity was first published in Europe.
-
B.
firstEnglishTranslationYear
Indicates the year in which an entity was first translated into English.
-
C.
firstMajorEuropeanTranslationLanguage
Indicates the language into which a work was first translated in a major European context.
-
D.
firstEditionLanguage
Indicates the language in which a work was originally published in its first edition.
-
E.
wasFirstLatinTranslationBy
Indicates that one entity is the earliest Latin translation of another entity, produced by a specified translator or source.
- F. None of above. chosen
Provenance (1 batch)
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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:34 a.m.