Triple
T29484700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siegel zero |
E747887
|
entity |
| Predicate | hasRealPart |
P201470
|
FINISHED |
| Object | very close to 1 |
—
|
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: very close to 1 | Statement: [Siegel zero, hasRealPart, very close to 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRealPart Context triple: [Siegel zero, hasRealPart, very close to 1]
-
A.
hasRealComponents
Indicates that an entity possesses components or parts whose values are real (non-complex) numbers.
-
B.
hasConditionOnImaginaryPart
Indicates that a relationship or constraint is imposed specifically on the imaginary part of a complex-valued quantity.
-
C.
hasSmallImaginaryPart
Indicates that the imaginary component of a complex-valued entity is small in magnitude, typically relative to a given threshold or context.
-
D.
hasImaginaryElement
Indicates that an entity includes or is associated with an imaginary (non-real) component, typically in a mathematical or conceptual sense.
-
E.
isRealValued
Indicates that the value or function in question takes values exclusively from the set of real numbers.
- 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_69f0bd43ba30819095eb1cfc3adf525c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fff9b126b4819085a4cf8791d388d1 |
completed | May 10, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69fff8f913a881908d3b7e490d92631f |
completed | May 10, 2026, 3:18 a.m. |
| PDg | Predicate description generation | batch_69fff9b0338c8190a24ed0b5dc9784b2 |
completed | May 10, 2026, 3:21 a.m. |
Created at: April 28, 2026, 4:07 p.m.