Triple
T19377104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dynamical Mean-Field Theory |
E484699
|
entity |
| Predicate | requiresSolutionMethod |
P135726
|
FINISHED |
| Object | quantum Monte Carlo impurity solver |
—
|
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: quantum Monte Carlo impurity solver | Statement: [Dynamical Mean-Field Theory, requiresSolutionMethod, quantum Monte Carlo impurity solver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresSolutionMethod Context triple: [Dynamical Mean-Field Theory, requiresSolutionMethod, quantum Monte Carlo impurity solver]
-
A.
providesSolutionFor
Indicates that one entity offers or supplies a remedy, answer, or resolution to a problem, need, or issue associated with another entity.
-
B.
solutionType
Indicates the specific category or kind of solution associated with an entity or problem.
-
C.
solutionDeterminedBy
Indicates that the value or outcome of a solution is fully specified or fixed by the referenced factor(s) or condition(s).
-
D.
requiresSolvingAlgebraicEquations
Indicates that performing or completing an action depends on solving algebraic equations.
-
E.
isSolutionOf
Indicates that one entity is a correct answer or satisfies the conditions of a given problem, equation, or task.
- F. None of above. chosen
Provenance (4 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a5cfbf48190ac60e3ffa6baa263 |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:35 p.m.