Triple
T24036561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SL(n,ℂ) |
E595247
|
entity |
| Predicate | isCenterNontrivial |
P154610
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [SL(n,ℂ), isCenterNontrivial, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCenterNontrivial Context triple: [SL(n,ℂ), isCenterNontrivial, true]
-
A.
hasTrivialCenter
Indicates that the group’s center consists only of the identity element, meaning it has no nontrivial elements that commute with all others.
-
B.
isNonAbelian
Indicates that the operation or structure in question does not satisfy commutativity, so the order of applying the operation matters.
-
C.
hasTrivialAbelianization
Indicates that the group’s abelianization is trivial, meaning its commutator subgroup is the whole group and it has no nontrivial abelian quotient.
-
D.
isCenterless
Indicates that an entity lacks a central element, core component, or defined center in the relevant structure or context.
-
E.
isSelfCentralizingIn
Indicates that an entity is equal to its own centralizer within a larger structure, meaning all elements that commute with it are contained in it.
- 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_69e288bf45f08190a1b6ed8cd0b9e86b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8d43884819093e9207a99ae2a70 |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 9:56 p.m.