Triple
T5570517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fermat's Last Theorem |
E146188
|
entity |
| Predicate | originalSource |
P409
|
FINISHED |
| Object | margin note in Fermat's copy of Diophantus's Arithmetica |
—
|
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: margin note in Fermat's copy of Diophantus's Arithmetica | Statement: [Fermat's Last Theorem, originalSource, margin note in Fermat's copy of Diophantus's Arithmetica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalSource Context triple: [Fermat's Last Theorem, originalSource, margin note in Fermat's copy of Diophantus's Arithmetica]
-
A.
originalFor
Indicates that one entity serves as the source, basis, or prototype from which another entity is derived, adapted, or created.
-
B.
originalAuthorOfSource
Indicates that an entity is the original creator or author of a given source or work.
-
C.
originalWebsite
Indicates that one entity is the original or primary website from which another entity (such as a copy, mirror, or derivative site) is derived.
-
D.
source
chosen
Indicates that something originates from, is derived from, or is provided by a particular entity or location.
-
E.
originalText
Indicates that one text is the initial, unmodified version from which other versions, translations, or representations are derived.
- 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.