Triple
T34967995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruges-la-Morte |
E1008455
|
entity |
| Predicate | numberOfPhotographsInFirstEdition |
—
|
GENERATED |
| Object | 35 |
—
|
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: numberOfPhotographsInFirstEdition Context triple: [Bruges-la-Morte, numberOfPhotographsInFirstEdition, 35]
-
A.
pageCountFirstEdition
Indicates the number of pages contained in the first edition of an item.
-
B.
numberOfMapsInFirstEdition
Indicates the quantity of maps contained in the first edition of a given work or publication.
-
C.
numberOfPoemsInFirstEdition
Indicates the quantity of poems contained in the first edition of a given work or collection.
-
D.
survivingCopiesOfFirstEdition
Indicates that the subject has or is associated with copies that remain extant from the first edition of a work.
-
E.
firstEditionApproximateNumberOfMaps
Indicates the approximate count of maps included in the first edition of a work.
- 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_69f76dc78a308190a1ac29ad4a9a4895 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.