Triple
T5570507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fermat's Last Theorem |
E146188
|
entity |
| Predicate | exponent |
P64856
|
FINISHED |
| Object | n |
—
|
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: n | Statement: [Fermat's Last Theorem, exponent, n]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exponent Context triple: [Fermat's Last Theorem, exponent, n]
-
A.
notableExponents
Indicates that certain entities are especially prominent, influential, or exemplary practitioners or representatives of a given field, movement, or activity.
-
B.
expandsPowersOf
Indicates that one entity increases, extends, or enhances the authority, capabilities, or influence held by another entity.
-
C.
roseToPowerIn
Indicates the point in time or context in which an entity gained authority, control, or a dominant position.
-
D.
allowsExponentType
Indicates that one entity permits or supports the use of a specified type for an exponent in an operation or expression.
-
E.
baseUnitsMassExponent
Indicates the exponent applied to the base unit of mass in a measurement’s dimensional or unit expression.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020502a288190af37f9ebb88fccae |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b12826c8190969a584d0f53aa44 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:37 p.m.