Triple
T14030411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | golden ratio |
E337571
|
entity |
| Predicate | isMonotonicFunctionOf |
P10675
|
FINISHED |
| Object | square root of 5 |
—
|
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: square root of 5 | Statement: [golden ratio, isMonotonicFunctionOf, square root of 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMonotonicFunctionOf Context triple: [golden ratio, isMonotonicFunctionOf, square root of 5]
-
A.
monotoneIn
chosen
Indicates that the relationship or function preserves a specified order when one of its arguments increases, meaning larger inputs (in that argument) do not lead to smaller outputs with respect to the given ordering.
-
B.
isLogarithmicallyConvexOn
Indicates that a function defined on a given domain has a logarithm that is convex, meaning the log of the function lies below or on every chord between any two points in that domain.
-
C.
isLogConvexOn
Indicates that the logarithm of a function is convex on a specified domain, meaning the function satisfies log-convexity over that interval or set.
-
D.
hasMonodromy
Indicates that one mathematical object exhibits a monodromy action or structure with respect to another (typically along loops in a parameter or base space).
-
E.
isAbsolutelyContinuousWithRespectTo
Indicates that one measure changes in such a way that it assigns zero measure to every set that another reference measure also considers negligible.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa9f8248190930954d609dee5f1 |
completed | April 14, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.