Triple
T34275835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | d’Étanges |
E879451
|
entity |
| Predicate | hasCountryOfLiteraryOrigin |
—
|
GENERATED |
| Object | Germany |
—
|
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: hasCountryOfLiteraryOrigin Context triple: [d’Étanges, hasCountryOfLiteraryOrigin, Germany]
-
A.
literaryOriginCountry
chosen
Indicates the country from which a literary work or literary tradition originally comes.
-
B.
hasLiteraryOriginAuthorNationality
Indicates that the nationality of the author from whom a work or concept originates is being specified.
-
C.
countryOfNotableWork
Indicates the country with which a notable work is primarily associated, such as where it was created, set, or gained its significance.
-
D.
writtenInCountry
Indicates that a written work was created, authored, or composed within the geographical boundaries of a specific country.
-
E.
workOfFictionDebutCountry
Indicates the country where a work of fiction was first released, published, or debuted.
- F. None of above.
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_69f349b5f6648190b9420d94a4cd16e0 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:56 a.m.