Triple
T2373570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hopfield network |
E46142
|
entity |
| Predicate | dynamicsMinimize |
P27179
|
FINISHED |
| Object | energy function |
—
|
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 function | Statement: [Hopfield network, dynamicsMinimize, energy function]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dynamicsMinimize Context triple: [Hopfield network, dynamicsMinimize, energy function]
-
A.
minimizedBy
Indicates that one entity serves to reduce, lessen, or make as small as possible the value, effect, or impact of another entity.
-
B.
optimizationType
chosen
Indicates the specific strategy or method used to improve performance or efficiency within a given process or system.
-
C.
minimizesRoleOf
Indicates that one entity reduces, downplays, or diminishes the importance, influence, or contribution of another entity’s role.
-
D.
modelsMotionOf
Indicates that one entity provides a representation or simulation of the motion or movement behavior of another entity.
-
E.
typeOfOptimality
Indicates that one entity specifies the particular notion or criterion of optimality that characterizes another entity’s optimal status or solution.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abca4d89248190be7d712d5fa8382b |
completed | March 7, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69abc59d82f08190b7c36982d1ae783d |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:56 p.m.