Triple
T5570682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fermat number |
E146191
|
entity |
| Predicate | productPlusTwoIdentity |
P64871
|
FINISHED |
| Object | F_0 F_1 … F_{n-1} = F_n - 2 |
—
|
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: F_0 F_1 … F_{n-1} = F_n - 2 | Statement: [Fermat number, productPlusTwoIdentity, F_0 F_1 … F_{n-1} = F_n - 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productPlusTwoIdentity
Context triple: [Fermat number, productPlusTwoIdentity, F_0 F_1 … F_{n-1} = F_n - 2]
-
A.
productIncludes
Indicates that a product contains, comprises, or is composed of the specified component, item, or feature.
-
B.
productStyle
Indicates the stylistic category or design theme that characterizes a product.
-
C.
laterProductType
Indicates that one product type occurs or is introduced after another product type in time or sequence.
-
D.
productFamily
Indicates that one product belongs to, or is categorized under, a broader product family or line.
-
E.
productForm
Indicates the specific physical or presentation format in which a product is offered or delivered (e.g., tablet, liquid, package type).
- 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_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. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:37 p.m.