Triple
T14334525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramanujan–Nagell equation |
E355435
|
entity |
| Predicate | solution |
P114009
|
FINISHED |
| Object | (x,n) = (1,3) |
—
|
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: (x,n) = (1,3) | Statement: [Ramanujan–Nagell equation, solution, (x,n) = (1,3)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: solution Context triple: [Ramanujan–Nagell equation, solution, (x,n) = (1,3)]
-
A.
solutionType
Indicates the specific category or kind of solution associated with an entity or problem.
-
B.
solved
Indicates that one entity has successfully found a solution or answer to a problem, task, or challenge involving another entity.
-
C.
solutionProperty
Indicates that a solution possesses a specific characteristic, attribute, or quality relevant to its behavior, composition, or performance.
-
D.
resolutionIdea
Indicates a proposed method, plan, or approach intended to resolve or address a particular issue, conflict, or problem.
-
E.
providesSolutionFor
Indicates that one entity offers or supplies a remedy, answer, or resolution to a problem, need, or issue associated with another entity.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c20d2148190bb534bef338e871d |
completed | April 14, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e9ded24819099200349cf80e068 |
completed | April 14, 2026, 12:10 p.m. |
Created at: April 10, 2026, 1:13 a.m.