Triple
T31024358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cohen–Macaulay ring |
E790527
|
entity |
| Predicate | hasSpecialModule |
P12988
|
FINISHED |
| Object | canonical module |
—
|
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: canonical module | Statement: [Cohen–Macaulay ring, hasSpecialModule, canonical module]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpecialModule Context triple: [Cohen–Macaulay ring, hasSpecialModule, canonical module]
-
A.
hasSpecial
Indicates that an entity possesses or is associated with a distinctive or exceptional attribute, status, or feature compared to others.
-
B.
hasServiceModule
Indicates that an entity is equipped with, or associated with, a specific service module that provides supporting or auxiliary functions.
-
C.
hasSpecialVersion
Indicates that an entity possesses or is associated with a distinct or customized version of another entity, differing from the standard or default form.
-
D.
hasSpecialElement
Indicates that an entity contains or is associated with at least one element that is designated as special or exceptional in some defined context.
-
E.
hasModuleConstruct
chosen
Indicates that an entity includes, defines, or is composed of a specific module as one of its structural or functional components.
- 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_69f224c811508190a7de096a5b1f5798 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: April 29, 2026, 8:58 p.m.