Triple
T1483895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conway polynomial |
E29419
|
entity |
| Predicate | firstNontrivialCoefficient |
P5008
|
FINISHED |
| Object | often encodes Arf invariant mod 2 for knots |
—
|
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: often encodes Arf invariant mod 2 for knots | Statement: [Conway polynomial, firstNontrivialCoefficient, often encodes Arf invariant mod 2 for knots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstNontrivialCoefficient Context triple: [Conway polynomial, firstNontrivialCoefficient, often encodes Arf invariant mod 2 for knots]
-
A.
isNonzeroFor
Indicates that a given value, function, or quantity is not equal to zero under specified conditions or for specified inputs.
-
B.
mostSignificantBit
Indicates that one value represents the most significant (highest-order) bit in the binary representation of another value.
-
C.
firstOf
chosen
Indicates that one entity is the earliest or initial member in an ordered sequence or collection relative to the others.
-
D.
maximumConsecutiveTerms
Indicates the greatest number of terms that can occur in an unbroken, continuous sequence within a given context or structure.
-
E.
numberOfIndependentEquations
Indicates the count of distinct, non-redundant equations that independently constrain or relate the variables in a system.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c679714c8190ac53630fb49e19c5 |
completed | March 1, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69a4c486eacc81909c272f9bdf50a7c3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.