Triple
T38158344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosa Luxemburg’s collected works |
E952949
|
entity |
| Predicate | containsWorkOfType |
P2011
|
FINISHED |
| Object | economic writings |
—
|
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: economic writings | Statement: [Rosa Luxemburg’s collected works, containsWorkOfType, economic writings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsWorkOfType Context triple: [Rosa Luxemburg’s collected works, containsWorkOfType, economic writings]
-
A.
hasWorkTypeRelation
Indicates a relationship specifying the type or category of work associated with an entity.
-
B.
isContainedInWorkBy
Indicates that something is included within, or forms a part of, a larger work created by a specified agent.
-
C.
hasSignificantWorkType
Indicates that an entity is associated with a primary or notably important type or category of work.
-
D.
hasWorkInCollection
chosen
Indicates that a work or item is included as part of a particular collection.
-
E.
hasSectionOfWorkType
Indicates that an entity is associated with a specific type or category of work section it involves or contains.
- 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a0207a1272c81909dcdb6e3307702f5 |
completed | May 11, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_6a0205fa1e608190829fd2baa0434fff |
completed | May 11, 2026, 4:38 p.m. |
Created at: May 3, 2026, 4:21 p.m.