Triple
T6780969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagrangian mechanics |
E155679
|
entity |
| Predicate | typicalEquation |
P12675
|
FINISHED |
| Object | Euler–Lagrange equation d/dt(∂L/∂q̇) − ∂L/∂q = 0 |
—
|
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: Euler–Lagrange equation d/dt(∂L/∂q̇) − ∂L/∂q = 0 | Statement: [Lagrangian mechanics, typicalEquation, Euler–Lagrange equation d/dt(∂L/∂q̇) − ∂L/∂q = 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEquation Context triple: [Lagrangian mechanics, typicalEquation, Euler–Lagrange equation d/dt(∂L/∂q̇) − ∂L/∂q = 0]
-
A.
numberOfEquations
Indicates the total count of equations associated with or involved in a given entity or context.
-
B.
supportsEquations
Indicates that one entity provides the capability to handle, display, or work with mathematical equations for another entity or within a given context.
-
C.
mathematicallyExpressedBy
chosen
Indicates that something (such as a concept, quantity, or relationship) is represented or captured using a specific mathematical expression or formulation.
-
D.
algebra
Indicates a relationship involving algebraic operations, structures, or properties between mathematical entities.
-
E.
commonlySolvedBy
Indicates that a problem, task, or issue is typically addressed or resolved through a particular method, tool, or agent.
- 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d26b32c0819093f86b1002260660 |
completed | March 27, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69c6d095dcac8190bb9b943f50a7f885 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:14 p.m.