Triple
T7419952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kovalevskaya top |
E171219
|
entity |
| Predicate | hasIntegralOfMotion |
P35803
|
FINISHED |
| Object | energy integral |
—
|
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: energy integral | Statement: [Kovalevskaya top, hasIntegralOfMotion, energy integral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIntegralOfMotion Context triple: [Kovalevskaya top, hasIntegralOfMotion, energy integral]
-
A.
hasConservedQuantity
chosen
Indicates that a system or process possesses a quantity that remains constant (is conserved) throughout its evolution or interactions.
-
B.
hasEquationOfMotion
Indicates that one entity specifies or is associated with the equation of motion governing the dynamical behavior of another entity.
-
C.
hasRelativeAngularMomentum
Indicates that one entity possesses angular momentum defined relative to another reference entity or frame.
-
D.
hasCenterOfMassMomentum
Indicates that one entity possesses or is characterized by a specific value of momentum associated with its center of mass.
-
E.
hasKineticTerm
Indicates that an entity possesses a kinetic energy or motion-related term in its mathematical or physical description.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2ea61248190886e8e55b42ba5f1 |
completed | March 27, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c6f0345040819094c5756dfa487faf |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:11 p.m.