Triple
T33579712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cartier divisor |
E860118
|
entity |
| Predicate | onSmoothVariety |
P176915
|
FINISHED |
| Object | same as Weil divisor |
—
|
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: same as Weil divisor | Statement: [Cartier divisor, onSmoothVariety, same as Weil divisor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onSmoothVariety Context triple: [Cartier divisor, onSmoothVariety, same as Weil divisor]
-
A.
canonicalVarieties
Indicates that one entity is a canonical or standard variety/form of another entity within a given classification or system.
-
B.
isRationalSurface
Indicates that a given algebraic surface is birationally equivalent to the projective plane, i.e., it has the rationality property.
-
C.
inAlgebraicGeometry
Indicates that something is situated, defined, or studied within the context and methods of algebraic geometry.
-
D.
isSmoothManifold
Indicates that the entity is a manifold whose local structure is modeled on smooth Euclidean space and whose transition maps are infinitely differentiable.
-
E.
canonicalDivisor
Indicates that one divisor is the canonical divisor associated to a given algebraic variety or curve, representing its intrinsic differential or adjunction class.
- 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_69f3497d37848190afcbb5ef3f5c7376 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f70b0ca081908b24a98937e6ef66 |
completed | May 3, 2026, 7:19 a.m. |
Created at: May 1, 2026, 1:40 a.m.