Triple
T23298250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pilot-wave theory |
E590230
|
entity |
| Predicate | usesEquationOfMotion |
P62496
|
FINISHED |
| Object | guidance equation |
—
|
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: guidance equation | Statement: [pilot-wave theory, usesEquationOfMotion, guidance equation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesEquationOfMotion Context triple: [pilot-wave theory, usesEquationOfMotion, guidance equation]
-
A.
hasEquationOfMotion
Indicates that one entity specifies or is associated with the equation of motion governing the dynamical behavior of another entity.
-
B.
equationOfMotionFor
chosen
Indicates that one entity specifies the mathematical equation governing the motion or dynamics of another entity.
-
C.
supportsEquations
Indicates that one entity provides the capability to handle, display, or work with mathematical equations for another entity or within a given context.
-
D.
hasVerticalMotion
Indicates that an entity is undergoing or exhibiting motion in the vertical direction (upward or downward).
-
E.
modelsMotionOf
Indicates that one entity provides a representation or simulation of the motion or movement behavior 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196d083188190abaae77dd4cf2bae |
completed | April 29, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 5:03 p.m.