Triple
T5229432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klein–Gordon equation |
E118070
|
entity |
| Predicate | covariantDerivativeSymbol |
P29520
|
FINISHED |
| Object | D_μ |
—
|
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: D_μ | Statement: [Klein–Gordon equation, covariantDerivativeSymbol, D_μ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: covariantDerivativeSymbol Context triple: [Klein–Gordon equation, covariantDerivativeSymbol, D_μ]
-
A.
covariantDerivativeContribution
Indicates the contribution of a given term or component to the overall value of a covariant derivative in a geometric or field-theoretic context.
-
B.
metricTensorComponent
Indicates the value of a specific component of the metric tensor that defines distances and angles in a given coordinate system or spacetime.
-
C.
derivativeRelation
Indicates that one entity is derived, obtained, or results from another through some transformation, computation, or dependency.
-
D.
differential
Indicates a relationship where one quantity or state is defined as the infinitesimal change or difference relative to another variable or function.
-
E.
derivativeDesignation
chosen
Indicates that one entity is formally identified as a derivative or adapted version of 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_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.