Triple
T7871594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacobi elliptic functions |
E182748
|
entity |
| Predicate | coreSubset |
P79471
|
FINISHED |
| Object | sn, cn, dn |
—
|
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: sn, cn, dn | Statement: [Jacobi elliptic functions, coreSubset, sn, cn, dn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreSubset Context triple: [Jacobi elliptic functions, coreSubset, sn, cn, dn]
-
A.
coreSubsidiaryOf
Indicates that one entity is a primary or central subsidiary that is owned or controlled by another entity.
-
B.
openSubsetsOfSpecR
Indicates that one collection of elements is related to another as the family of open subsets in the Zariski topology on the prime spectrum of a ring.
-
C.
typicalActiveSubset
Indicates that one set is a representative or characteristic active portion of a larger set, capturing the typical elements or behavior of that larger set.
-
D.
closedSubsetsOfSpecR
Indicates that the related objects are precisely the closed subsets of the prime spectrum of the ring \(R\) (Spec \(R\)) in its Zariski topology.
-
E.
hasSubset
Indicates that one set is entirely contained within another set, with all elements of the first set also belonging to the second.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39a5950481908399211c5dfe2569 |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae928e1b88190b0620f4c4f03bc7d |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:56 p.m.