Triple
T21494627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fermat surface |
E530319
|
entity |
| Predicate | isSmoothIf |
P144609
|
FINISHED |
| Object | characteristic of base field does not divide 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: characteristic of base field does not divide n | Statement: [Fermat surface, isSmoothIf, characteristic of base field does not divide n]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSmoothIf Context triple: [Fermat surface, isSmoothIf, characteristic of base field does not divide n]
-
A.
hasSmoothFiber
Indicates that one entity possesses fibers characterized by a smooth surface or texture.
-
B.
smoothness
Indicates the degree to which a surface or transition is even, continuous, and free from roughness or abrupt changes.
-
C.
isContinuous
Indicates that a function, process, or relationship changes smoothly without abrupt jumps or breaks over its domain.
-
D.
isSimple
Indicates that something has a straightforward, uncomplicated nature or structure, lacking complexity or elaboration.
-
E.
isFlat
Indicates that something has a level, even, or smooth surface without significant curves, bumps, or elevations.
- 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_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. |
| PDg | Predicate description generation | batch_69e6386c5a4481909c37f7de7e9fc025 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 16, 2026, 6:23 p.m.