Triple
T7743596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navier–Stokes existence and smoothness problem |
E175568
|
entity |
| Predicate | yearFormulatedAsMillenniumProblem |
P78449
|
FINISHED |
| Object | 2000 |
—
|
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: 2000 | Statement: [Navier–Stokes existence and smoothness problem, yearFormulatedAsMillenniumProblem, 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearFormulatedAsMillenniumProblem Context triple: [Navier–Stokes existence and smoothness problem, yearFormulatedAsMillenniumProblem, 2000]
-
A.
numberOfMillenniumProblems
Indicates the total count of Millennium Problems associated with a given subject or context.
-
B.
announcedMillenniumProblems
Indicates that an entity formally proclaimed or made public the set of Millennium Problems.
-
C.
millenniumPrizeDecision
Indicates that a decision has been made regarding the awarding or outcome of a Millennium Prize (typically a Millennium Prize Problem) for a given subject or candidate.
-
D.
valueOfSingleMillenniumPrize
Indicates the monetary value associated with a single Millennium Prize.
-
E.
positionInHilbertProblems
Indicates the specific numbered place that a given problem occupies within the list of Hilbert's problems.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016c4a748190a7012030edaefcee |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c7040091608190a9e46ecfb2ff0bca |
completed | March 27, 2026, 10:26 p.m. |
Created at: March 27, 2026, 4:07 p.m.