Triple
T7871985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacobi’s four-square theorem |
E182757
|
entity |
| Predicate | formulaType |
P79480
|
FINISHED |
| Object | multiplicative in 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: multiplicative in n | Statement: [Jacobi’s four-square theorem, formulaType, multiplicative in n]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formulaType Context triple: [Jacobi’s four-square theorem, formulaType, multiplicative in n]
-
A.
formulaUsed
Indicates that a particular formula is employed or applied in performing a calculation, derivation, or reasoning step.
-
B.
formulaStatus
Indicates the current state or condition of a formula, such as whether it is valid, active, pending, or otherwise classified in a workflow or system.
-
C.
keyFormula
Indicates that a formula serves as the primary or defining expression associated with an entity or relationship.
-
D.
formationType
Indicates the specific structural or organizational configuration in which something is arranged, created, or formed.
-
E.
formalismType
Indicates the specific formal system or representational framework in which something (such as a theory, model, or specification) is expressed.
- 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.