Triple
T4927357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weierstrass M-test |
E110608
|
entity |
| Predicate | typicalStatementForm |
P4223
|
FINISHED |
| Object | If |f_n(x)| ≤ M_n for all x and ∑ M_n converges, then ∑ f_n(x) converges uniformly |
—
|
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: If |f_n(x)| ≤ M_n for all x and ∑ M_n converges, then ∑ f_n(x) converges uniformly | Statement: [Weierstrass M-test, typicalStatementForm, If |f_n(x)| ≤ M_n for all x and ∑ M_n converges, then ∑ f_n(x) converges uniformly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStatementForm Context triple: [Weierstrass M-test, typicalStatementForm, If |f_n(x)| ≤ M_n for all x and ∑ M_n converges, then ∑ f_n(x) converges uniformly]
-
A.
typicalForm
Indicates that one entity represents the standard, characteristic, or most common form or shape in which another entity typically appears or is realized.
-
B.
statement
chosen
Indicates that an entity makes, issues, or expresses a declarative assertion, claim, or remark about something.
-
C.
sentenceType
Indicates the classification of a sentence according to its communicative function or structural type (e.g., question, statement, command).
-
D.
standardFormUsedIn
Indicates that a particular standard form is employed or applied within a given context, process, or system.
-
E.
logicalForm
Indicates a relationship where an expression is associated with its structured, formal logical representation.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7036d8e88190bc4be2975160da23 |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.