Triple
T5229578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirac Lagrangian |
E118073
|
entity |
| Predicate | leadsToConjugateMomentum |
P18658
|
FINISHED |
| Object | π = ∂ℒ/∂(∂_0 ψ) = i ψ̄ γ^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: π = ∂ℒ/∂(∂_0 ψ) = i ψ̄ γ^0 | Statement: [Dirac Lagrangian, leadsToConjugateMomentum, π = ∂ℒ/∂(∂_0 ψ) = i ψ̄ γ^0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadsToConjugateMomentum Context triple: [Dirac Lagrangian, leadsToConjugateMomentum, π = ∂ℒ/∂(∂_0 ψ) = i ψ̄ γ^0]
-
A.
kaonMomentum
Indicates the momentum value associated with a kaon in a given physical process or event.
-
B.
canLeadTo
chosen
Indicates that one entity, condition, or event has the potential to cause, result in, or bring about another.
-
C.
associatedElectromagneticPotential
Indicates that one entity stands in the role of the electromagnetic potential (e.g., scalar or vector potential) that is mathematically or physically associated with another entity.
-
D.
hasCenterOfMassMomentum
Indicates that one entity possesses or is characterized by a specific value of momentum associated with its center of mass.
-
E.
mathematicallyExpressedBy
Indicates that something (such as a concept, quantity, or relationship) is represented or captured using a specific mathematical expression or formulation.
- 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.