Triple
T38158367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosa Luxemburg’s collected works |
E952949
|
entity |
| Predicate | hasNotableWorkIncluded |
—
|
GENERATED |
| Object | The Accumulation of Capital |
—
|
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: hasNotableWorkIncluded Context triple: [Rosa Luxemburg’s collected works, hasNotableWorkIncluded, The Accumulation of Capital]
-
A.
hasNotableWorkExample
chosen
Indicates that an entity has a specific notable work cited as an example associated with it.
-
B.
hasNotableWorkSection
Indicates that a notable work is associated with a specific section or part of a larger work or document.
-
C.
hasNotableAuthorWork
Indicates that an author is notably associated with creating a particular work.
-
D.
hasNotableWorkCollection
Indicates that an entity is associated with a collection of its notable works or creations.
-
E.
hasNotableWorkSetThere
Indicates that a notable work (such as a book, film, or other creative piece) is set in or takes place within the referenced location.
- 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:21 p.m.