Triple
T26253924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E8 lattice |
E656669
|
entity |
| Predicate | hasNoRootsOfNorm |
P193045
|
FINISHED |
| Object | 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: 1 | Statement: [E8 lattice, hasNoRootsOfNorm, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoRootsOfNorm Context triple: [E8 lattice, hasNoRootsOfNorm, 1]
-
A.
hasRootsOfNorm
Indicates that one entity possesses or is associated with roots (e.g., solutions or base elements) whose norm satisfies a specified condition or value in relation to another entity.
-
B.
containsRootsOfUnity
Indicates that one mathematical object includes all elements that are roots of unity within a specified context or structure.
-
C.
hasRootSystemSize
Indicates the relationship between an entity and the size or extent of its root system.
-
D.
isNiemeierLatticeWithoutRoots
Indicates that a given Niemeier lattice has no root vectors, i.e., it is a Niemeier lattice whose root system is empty.
-
E.
hasZeroLocus
Indicates that a mathematical object (such as a function or section) is associated with the set of points where it evaluates to zero.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69fd37b45b4481908b947b52fbcb7ade |
completed | May 8, 2026, 1:09 a.m. |
Created at: April 26, 2026, 9:08 p.m.