Triple
T33579767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Picard group |
E860119
|
entity |
| Predicate | kernelOfDegreeMap |
P77179
|
FINISHED |
| Object | Pic^0(C) for a smooth projective curve C |
—
|
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: Pic^0(C) for a smooth projective curve C | Statement: [Picard group, kernelOfDegreeMap, Pic^0(C) for a smooth projective curve C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kernelOfDegreeMap Context triple: [Picard group, kernelOfDegreeMap, Pic^0(C) for a smooth projective curve C]
-
A.
hasDeterminantMapKernelOf
Indicates that the kernel of a given map is characterized or determined by a determinant-related condition or construction.
-
B.
kernelOfProjectionFrom
chosen
Indicates the subset of elements that are mapped to zero (or the identity element) by a given projection map from one structure to another.
-
C.
kernelType
Indicates the specific kind or category of kernel associated with or used by an entity.
-
D.
degreeOverQ
Indicates that one entity has an academic degree or qualification in a particular field, subject, or from a specific institution.
-
E.
coveringMapDegree
Indicates the integer degree of a covering map, specifying how many preimage points in the covering space lie over a typical point in the base space.
- 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_69f3497d37848190afcbb5ef3f5c7376 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f76f757081909165948fdcb254c7 |
completed | May 3, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:40 a.m.