Triple
T6282290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lie ring |
E140808
|
entity |
| Predicate | satisfiesJacobiIdentity |
P69850
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Lie ring, satisfiesJacobiIdentity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: satisfiesJacobiIdentity Context triple: [Lie ring, satisfiesJacobiIdentity, true]
-
A.
hasLieAlgebra
Indicates that one mathematical structure is associated with, or gives rise to, a specific Lie algebra capturing its infinitesimal or tangent-level structure.
-
B.
hasCommutationRelations
Indicates that there exist specific commutation relations governing how two operators or elements combine or reorder with respect to each other.
-
C.
hasLieAlgebraDimension
Indicates that an algebraic structure is associated with a Lie algebra having a specified vector-space dimension.
-
D.
isCommutative
Indicates that the result of applying an operation to two entities does not depend on their order (i.e., a ∘ b = b ∘ a).
-
E.
hasJacobian
Indicates that one entity is the Jacobian (derivative matrix) associated with another entity, typically describing how that entity changes with respect to its variables.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063f956c08190ae0f198ccbd68b42 |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c05608a5608190b22a1fdc4060470d |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c05b37ac1881909e947822490ba4f2 |
completed | March 22, 2026, 9:12 p.m. |
Created at: March 22, 2026, 4:26 p.m.