Triple
T5229411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klein–Gordon equation |
E118070
|
entity |
| Predicate | hasLagrangianDensity |
P52582
|
FINISHED |
| Object | ℒ = 1/2 (∂_μ φ ∂^μ φ − m^2 φ^2) |
—
|
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: ℒ = 1/2 (∂_μ φ ∂^μ φ − m^2 φ^2) | Statement: [Klein–Gordon equation, hasLagrangianDensity, ℒ = 1/2 (∂_μ φ ∂^μ φ − m^2 φ^2)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLagrangianDensity Context triple: [Klein–Gordon equation, hasLagrangianDensity, ℒ = 1/2 (∂_μ φ ∂^μ φ − m^2 φ^2)]
-
A.
LagrangianContains
chosen
Indicates that a given term, field, or interaction is included as part of the Lagrangian in a physical or mathematical model.
-
B.
hasLieAlgebra
Indicates that one mathematical structure is associated with, or gives rise to, a specific Lie algebra capturing its infinitesimal or tangent-level structure.
-
C.
hasConservedQuantity
Indicates that a system or process possesses a quantity that remains constant (is conserved) throughout its evolution or interactions.
-
D.
hasSymbolicForm
Indicates that one entity serves as the symbolic representation or abstract form of another entity.
-
E.
hasDegreeOfFreedom
Indicates that one entity possesses a specific independent parameter or mode in which it can vary or move relative to another entity or within a system.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0093a88190aba381ba3f761408 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77bf1ef08190bb3487b3f3ee088c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:48 p.m.