Triple
T21494049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taniyama–Shimura–Weil conjecture |
E530307
|
entity |
| Predicate | logicalStepFor |
P83228
|
FINISHED |
| Object | Ribet’s reduction of Fermat’s Last Theorem to modularity |
—
|
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: Ribet’s reduction of Fermat’s Last Theorem to modularity | Statement: [Taniyama–Shimura–Weil conjecture, logicalStepFor, Ribet’s reduction of Fermat’s Last Theorem to modularity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: logicalStepFor Context triple: [Taniyama–Shimura–Weil conjecture, logicalStepFor, Ribet’s reduction of Fermat’s Last Theorem to modularity]
-
A.
isStepToward
chosen
Indicates that one action, state, or condition serves as progress or a necessary move in the direction of achieving another.
-
B.
hasStepsLeadingTo
Indicates that one location or object is connected to another by a set of steps or a staircase leading toward it.
-
C.
stepOfModel
Indicates that something is a specific step or stage within a larger model or process.
-
D.
stepType
Indicates the specific kind or category of step an entity represents within a process or sequence.
-
E.
hasStep
Indicates that one entity includes, is composed of, or is associated with a specific step or stage in a process involving another entity.
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea567244819091863350fedae3ae |
completed | April 23, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69e631f6e68081908f5ee4ce7413803e |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:23 p.m.