Triple
T364215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boltzmann machines |
E7922
|
entity |
| Predicate | hasEnergyFunctionForm |
P3660
|
FINISHED |
| Object | E(v,h) = -∑_i a_i v_i -∑_j b_j h_j -∑_{i,j} v_i w_{ij} h_j -∑_{i<k} v_i u_{ik} v_k -∑_{j<l} h_j v_{jl} h_l |
—
|
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: E(v,h) = -∑_i a_i v_i -∑_j b_j h_j -∑_{i,j} v_i w_{ij} h_j -∑_{i<k} v_i u_{ik} v_k -∑_{j<l} h_j v_{jl} h_l | Statement: [Boltzmann machines, hasEnergyFunctionForm, E(v,h) = -∑_i a_i v_i -∑_j b_j h_j -∑_{i,j} v_i w_{ij} h_j -∑_{i<k} v_i u_{ik} v_k -∑_{j<l} h_j v_{jl} h_l]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnergyFunctionForm
Context triple: [Boltzmann machines, hasEnergyFunctionForm, E(v,h) = -∑_i a_i v_i -∑_j b_j h_j -∑_{i,j} v_i w_{ij} h_j -∑_{i<k} v_i u_{ik} v_k -∑_{j<l} h_j v_{jl} h_l]
-
A.
hasFormulation
chosen
Indicates that one entity is expressed, prepared, or configured in a particular form or composition defined by another entity.
-
B.
hasForm
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
C.
hasDistributionFunction
Indicates that an entity is associated with a specific distribution function that characterizes how its values or occurrences are probabilistically or statistically distributed.
-
D.
hasBindingEnergy
Indicates that one entity possesses or is characterized by a specific amount of binding energy associated with its formation or stability.
-
E.
hasFormulationType
Indicates the specific way something is physically prepared or presented, such as its dosage form, composition, or delivery format.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebd1016481909b8ba3b047a47145 |
completed | Feb. 28, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69a2e95dbb208190b277fc5352a4ee84 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.