Triple
T20593765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proca equation |
E505996
|
entity |
| Predicate | LagrangianDensityIncludes |
P52582
|
FINISHED |
| Object | −¼ F_{μν}F^{μν} |
—
|
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: −¼ F_{μν}F^{μν} | Statement: [Proca equation, LagrangianDensityIncludes, −¼ F_{μν}F^{μν}]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LagrangianDensityIncludes
Context triple: [Proca equation, LagrangianDensityIncludes, −¼ F_{μν}F^{μν}]
-
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.
hasLagrangian
Indicates that a physical system or theory is associated with a specific Lagrangian function that characterizes its dynamics.
-
C.
minimalCouplingForm
Indicates that one entity is expressed in a form where its interaction or dependence on another entity is reduced to the simplest or least complex coupling necessary.
-
D.
isLorentz
Indicates that a transformation preserves the Lorentzian spacetime interval, i.e., it is a valid Lorentz transformation between inertial reference frames.
-
E.
hasMassTerm
Indicates that one entity is classified as a mass (uncountable) term associated with another entity.
- 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a97e3a7c8190b0b4604aaf40564b |
completed | April 20, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69e59fffe1748190825e4eaa90340631 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:40 a.m.