Triple
T25402186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buffon’s needle problem |
E636452
|
entity |
| Predicate | solutionInvolves |
P1256
|
FINISHED |
| Object | trigonometric functions |
—
|
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: trigonometric functions | Statement: [Buffon’s needle problem, solutionInvolves, trigonometric functions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: solutionInvolves Context triple: [Buffon’s needle problem, solutionInvolves, trigonometric functions]
-
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.
solution
Indicates that one entity is a mixture or substance formed by dissolving another entity (the solute) in a solvent, or more generally a means of solving or resolving a problem involving another entity.
-
C.
involves
chosen
Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
-
D.
resolutionIdea
Indicates a proposed method, plan, or approach intended to resolve or address a particular issue, conflict, or problem.
-
E.
solutionType
Indicates the specific category or kind of solution associated with an entity or problem.
- 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f584fbde0c8190ac451fe33848aadb |
completed | May 2, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 1:52 p.m.