Triple
T739684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | von Neumann paradox in set theory |
E15214
|
entity |
| Predicate | motivationFor |
P19457
|
FINISHED |
| Object | definition of amenable groups |
—
|
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: definition of amenable groups | Statement: [von Neumann paradox in set theory, motivationFor, definition of amenable groups]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motivationFor Context triple: [von Neumann paradox in set theory, motivationFor, definition of amenable groups]
-
A.
motivated
Indicates that one entity provides a reason, drive, or incentive that causes another entity to act or behave in a certain way.
-
B.
motive
Indicates the underlying reason, intention, or driving force that explains why an entity performs or is associated with a particular action or event.
-
C.
inspiration
Indicates that one entity serves as a motivating or creative influence that stimulates ideas, actions, or feelings in another entity.
-
D.
goals
Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
-
E.
purpose
Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
- F. None of above. chosen
Provenance (4 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64adf2c81908e48090be35dd9d9 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fc734c81908fbd36386d5746d6 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a64957ec81909fe2e2dbffd80ed3 |
completed | March 1, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:37 p.m.