Triple
T23372432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GL(n,ℝ) |
E593509
|
entity |
| Predicate | hasNeutralElement |
P19411
|
FINISHED |
| Object | I_n |
—
|
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: I_n | Statement: [GL(n,ℝ), hasNeutralElement, I_n]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNeutralElement Context triple: [GL(n,ℝ), hasNeutralElement, I_n]
-
A.
hasIdentityElement
chosen
Indicates that a binary operation on a set has a special element which, when combined with any element of the set, leaves that element unchanged.
-
B.
hasAdditiveInverses
Indicates that for every element in a given structure, there exists another element that combines with it under the operation to yield the additive identity (typically zero).
-
C.
hasNeutralAlternative
Indicates that something has an alternative option that is neutral in effect, stance, or value compared to the original.
-
D.
hasAdditiveGroup
Indicates that something possesses an associated additive group structure, typically meaning its elements form a group under an addition-like operation.
-
E.
isNonassociative
Indicates that a binary operation on three or more elements yields different results when the elements are grouped in different ways, so the associative law does not hold.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3af45ec8190a32aa4e5f04f6756 |
completed | April 29, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:32 p.m.