Triple
T7338474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jones polynomial |
E169187
|
entity |
| Predicate | hasExponentType |
P26752
|
FINISHED |
| Object | half-integers in the variable exponent |
—
|
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: half-integers in the variable exponent | Statement: [Jones polynomial, hasExponentType, half-integers in the variable exponent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExponentType Context triple: [Jones polynomial, hasExponentType, half-integers in the variable exponent]
-
A.
allowsExponentType
chosen
Indicates that one entity permits or supports the use of a specified type for an exponent in an operation or expression.
-
B.
hasExponentGroup
Indicates that one entity is associated with, or belongs to, a particular exponent group in a mathematical or algebraic context.
-
C.
hasExpansionType
Indicates that an entity is associated with a particular mode or category of expansion (such as how it grows, extends, or scales).
-
D.
exponent
Indicates that one quantity is raised to the power of another, expressing repeated multiplication of a base by itself.
-
E.
hasExpression
Indicates that an entity displays or possesses a particular facial or emotional expression.
- 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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f028fd748190b2ea5c3081958a42 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:04 p.m.