Triple
T6833863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artinian module |
E157400
|
entity |
| Predicate | hasDecomposition |
P73433
|
FINISHED |
| Object | composition series when of finite length |
—
|
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: composition series when of finite length | Statement: [Artinian module, hasDecomposition, composition series when of finite length]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDecomposition Context triple: [Artinian module, hasDecomposition, composition series when of finite length]
-
A.
yieldsDecomposition
Indicates that one entity produces or results in a particular breakdown or decomposition of another entity.
-
B.
decompositionType
Indicates the specific way in which a whole is broken down into its constituent parts or components.
-
C.
numericDecomposition
Indicates that a number is broken down into a set of component numbers or factors whose combination (e.g., sum or product) reconstructs the original value.
-
D.
hasCombinatorialNature
Indicates that something possesses properties or behavior fundamentally based on combinations, arrangements, or discrete configurations of elements.
-
E.
canBeDissectedBy
Indicates that one entity is capable of being divided or analyzed into parts by another entity or method.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d67936288190829fedc3729aadd8 |
completed | March 27, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c6d09f90648190bc0a462c7d59de1b |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d623aba88190a93ec9c83508c960 |
completed | March 27, 2026, 7:10 p.m. |
Created at: March 27, 2026, 2:18 p.m.