Triple
T24806185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurwitz quaternions |
E620663
|
entity |
| Predicate | isFreeZModuleOfRank |
P69864
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Hurwitz quaternions, isFreeZModuleOfRank, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFreeZModuleOfRank Context triple: [Hurwitz quaternions, isFreeZModuleOfRank, 4]
-
A.
canBeTensoredWithZModule
Indicates that an object can form a valid tensor product with a ℤ-module, preserving the required algebraic structure.
-
B.
rankOverℤ
Indicates that one entity has a higher (or superior) rank than another when ranks are compared as integers over the set of all integers ℤ.
-
C.
canBeOverZModule
chosen
Indicates that one entity can be structured or interpreted as a module over the ring of integers ℤ with respect to another entity.
-
D.
isMultiplicativelyIndecomposable
Indicates that an entity (typically a number or algebraic object) cannot be expressed as a nontrivial product of other entities of the same kind.
-
E.
isFinitelyGenerated
Indicates that a structure (such as a group, module, or ideal) can be generated by a finite set of elements under its defining operations.
- 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:50 a.m.