Triple
T21046916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO(n) |
E518472
|
entity |
| Predicate | quotientBy |
P97909
|
FINISHED |
| Object | R^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: R^n | Statement: [ISO(n), quotientBy, R^n]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quotientBy Context triple: [ISO(n), quotientBy, R^n]
-
A.
quotientedBy
chosen
Indicates that one structure or set is formed from another by identifying elements according to an equivalence relation or partition, yielding a quotient.
-
B.
quotientIs
Indicates that one entity is the result of dividing another entity by a specified divisor (i.e., it represents the quotient in a division relationship).
-
C.
dividedBy
Indicates that one quantity is separated into a specified number of equal parts or groups by another quantity, representing a division relationship between them.
-
D.
isQuotientOf
Indicates that one quantity is the result of dividing another quantity by a specified divisor.
-
E.
hasQuotient
Indicates that one quantity or entity is the result of dividing another quantity or entity by a specified divisor.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf4d26481908b639996500a8319 |
completed | April 21, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf6728881908a2a43a5c8804a2a |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:34 p.m.