Triple
T2622516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Accumulation of Capital |
E59039
|
entity |
| Predicate | positionWithinAuthorWork |
P19302
|
FINISHED |
| Object | major theoretical work of Rosa Luxemburg |
—
|
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: major theoretical work of Rosa Luxemburg | Statement: [The Accumulation of Capital, positionWithinAuthorWork, major theoretical work of Rosa Luxemburg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionWithinAuthorWork Context triple: [The Accumulation of Capital, positionWithinAuthorWork, major theoretical work of Rosa Luxemburg]
-
A.
positionInAuthorOeuvre
chosen
Indicates the relative placement or order of a work within an author's overall body of work.
-
B.
positionInStory
Indicates the point or role an event, character, or element occupies within the overall sequence or structure of a story.
-
C.
partOfAuthorBibliography
Indicates that a work is included in the set of publications that make up an author's bibliography.
-
D.
positionInWork
Indicates the specific role, rank, or placement an entity holds within a larger work or structured composition.
-
E.
officeHeldByAuthor
Indicates that a particular office or official position is/was occupied or held by a specific author.
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdaca581881908fe8d3d820f839b7 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd80f48888190afdf7e3e042157d0 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.