Triple
T5212182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weyl algebra |
E117658
|
entity |
| Predicate | satisfiesProperty |
P23698
|
FINISHED |
| Object | Auslander regular |
—
|
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: Auslander regular | Statement: [Weyl algebra, satisfiesProperty, Auslander regular]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: satisfiesProperty Context triple: [Weyl algebra, satisfiesProperty, Auslander regular]
-
A.
satisfies
Indicates that one entity meets, fulfills, or complies with the requirements, conditions, or expectations specified by another.
-
B.
haveProperty
chosen
Indicates that an entity possesses, exhibits, or is characterized by a particular property or attribute.
-
C.
requiresProperty
Indicates that one entity depends on another entity possessing a specific property or attribute in order for a condition, action, or relationship to hold.
-
D.
identifiesPropertyOf
Indicates that one entity specifies or denotes a particular property or attribute belonging to another entity.
-
E.
usesProp
Indicates that one entity employs, utilizes, or makes use of a particular property, resource, or object in performing an action or fulfilling a function.
- 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a730e6c8190ae6082da41ee592a |
completed | March 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69bd77bb4e8c819094b5ac7cf61512f9 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.