Triple
T29968944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilbert’s sixteenth problem |
E761264
|
entity |
| Predicate | degreeOfCurvesMentioned |
P168720
|
FINISHED |
| Object | plane algebraic curves of degree 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: plane algebraic curves of degree n | Statement: [Hilbert’s sixteenth problem, degreeOfCurvesMentioned, plane algebraic curves of degree n]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeOfCurvesMentioned Context triple: [Hilbert’s sixteenth problem, degreeOfCurvesMentioned, plane algebraic curves of degree n]
-
A.
numberOfCurves
Indicates the relationship that specifies how many distinct curves are associated with or contained in a given entity.
-
B.
isCurved
Indicates that an object or path deviates smoothly from a straight line, forming a bend or arc.
-
C.
commonlyUsedCurve
Indicates that the referenced curve is widely adopted or frequently used in common practice or standard applications.
-
D.
minimumRadiusOfCurves
Indicates the smallest allowable radius for any curve in a path, track, or route associated with the subject.
-
E.
relatedCurve
Indicates that one curve is associated with or derived from another curve in a defined relational way.
- F. None of above. chosen
Provenance (4 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_69f22467626081908d5afea489590e96 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6786c984c8190b7668a6232901b30 |
completed | May 2, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 29, 2026, 6:31 p.m.