Triple
T25725661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CPT theorem |
E645109
|
entity |
| Predicate | impliesInvarianceUnder |
P4235
|
FINISHED |
| Object | combined CPT transformation |
—
|
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: combined CPT transformation | Statement: [CPT theorem, impliesInvarianceUnder, combined CPT transformation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impliesInvarianceUnder Context triple: [CPT theorem, impliesInvarianceUnder, combined CPT transformation]
-
A.
invariantUnder
chosen
Indicates that a property, structure, or quantity remains unchanged when a specified transformation or operation is applied.
-
B.
invariantOf
Indicates that one element is an invariant (a property or quantity that remains unchanged) with respect to another element, system, or transformation.
-
C.
invariantType
Indicates that one entity has a type or classification that remains constant or unchanged under specified conditions or transformations.
-
D.
invariantSet
Indicates that a set remains unchanged under a specified transformation, operation, or dynamic process.
-
E.
impliesUnderMeasurability
Indicates that one property or condition guarantees that another property or condition is measurable (in the measure-theoretic sense).
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fcb6562481909de5461493ab10b1 |
completed | May 2, 2026, 1:31 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 10:23 p.m.