Triple
T5570602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fermat's theorem on sums of two squares |
E146190
|
entity |
| Predicate | statementAbout |
P4223
|
FINISHED |
| Object | sum of two perfect squares |
—
|
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: sum of two perfect squares | Statement: [Fermat's theorem on sums of two squares, statementAbout, sum of two perfect squares]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statementAbout Context triple: [Fermat's theorem on sums of two squares, statementAbout, sum of two perfect squares]
-
A.
statement
chosen
Indicates that an entity makes, issues, or expresses a declarative assertion, claim, or remark about something.
-
B.
claimsToBe
Indicates that one entity asserts or declares itself to have a particular identity, role, or property, regardless of whether this assertion is true.
-
C.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
D.
natureOfStatement
Indicates that the statement is being characterized by its type, quality, or logical status (e.g., fact, opinion, assumption, or claim).
-
E.
clarifiesThat
Indicates that one entity explains or makes another entity more understandable by removing ambiguity or confusion about it.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020502a288190af37f9ebb88fccae |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b12826c8190969a584d0f53aa44 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:37 p.m.