Triple
T36640570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S5 |
E904571
|
entity |
| Predicate | hasConjugacyClass |
P77144
|
FINISHED |
| Object | identity permutation |
—
|
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: identity permutation | Statement: [S5, hasConjugacyClass, identity permutation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConjugacyClass Context triple: [S5, hasConjugacyClass, identity permutation]
-
A.
hasConjugacyClasses
chosen
Indicates that a group is associated with specific conjugacy classes, each consisting of elements that are mutually conjugate within the group.
-
B.
hasNumberOfConjugacyClasses
Indicates the relationship that specifies how many distinct conjugacy classes are associated with a given algebraic structure (such as a group).
-
C.
numberOfConjugacyClasses
Indicates the total count of distinct conjugacy classes associated with a given group.
-
D.
hasEquivalenceClass
Indicates that something belongs to, or is associated with, a group of entities that are considered equivalent under a specified relation.
-
E.
conjugacyProperty
Indicates that two elements or structures are related by conjugation, sharing the same form up to an inner automorphism or similarity transformation.
- 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_69f76e6c63e48190b1d0c3a79a6c7406 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.