Triple
T6833951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordan–Hölder theorem |
E157402
|
entity |
| Predicate | isRefinementOf |
P4448
|
FINISHED |
| Object | Schreier refinement theorem in the case of composition series |
—
|
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: Schreier refinement theorem in the case of composition series | Statement: [Jordan–Hölder theorem, isRefinementOf, Schreier refinement theorem in the case of composition series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRefinementOf Context triple: [Jordan–Hölder theorem, isRefinementOf, Schreier refinement theorem in the case of composition series]
-
A.
hasRefinement
chosen
Indicates that one entity represents a more detailed, specific, or improved version of another entity.
-
B.
isParentOf
Indicates that one entity is the biological or legal parent of another entity.
-
C.
isChildOf
Indicates that one entity is the offspring or direct descendant of another entity.
-
D.
refinedIn
Indicates that one entity is processed or purified within a refining facility or operation to improve its quality or extract desired components.
-
E.
isSubnetworkOf
Indicates that one network is a contained, subordinate, or component part of another, larger network.
- 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_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. |
Created at: March 27, 2026, 2:18 p.m.