Triple
T7678180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godunov-type schemes |
E173919
|
entity |
| Predicate | solve |
P8791
|
FINISHED |
| Object | hyperbolic conservation laws |
—
|
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: hyperbolic conservation laws | Statement: [Godunov-type schemes, solve, hyperbolic conservation laws]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: solve Context triple: [Godunov-type schemes, solve, hyperbolic conservation laws]
-
A.
solved
Indicates that one entity has successfully found a solution or answer to a problem, task, or challenge involving another entity.
-
B.
solutionType
Indicates the specific category or kind of solution associated with an entity or problem.
-
C.
isSolutionOf
Indicates that one entity is a correct answer or satisfies the conditions of a given problem, equation, or task.
-
D.
providesSolutionFor
Indicates that one entity offers or supplies a remedy, answer, or resolution to a problem, need, or issue associated with another entity.
-
E.
commonlySolvedBy
chosen
Indicates that a problem, task, or issue is typically addressed or resolved through a particular method, tool, or agent.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7048b0b448190889bd40e0a38e51a |
completed | March 27, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69c701618d3481908be84b76f36ac5a1 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 4:01 p.m.