Triple
T10991274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilbert–Pólya conjecture |
E259757
|
entity |
| Predicate | openProblemIn |
P96492
|
FINISHED |
| Object | number theory |
—
|
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: number theory | Statement: [Hilbert–Pólya conjecture, openProblemIn, number theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openProblemIn Context triple: [Hilbert–Pólya conjecture, openProblemIn, number theory]
-
A.
announcedMillenniumProblems
Indicates that an entity formally proclaimed or made public the set of Millennium Problems.
-
B.
numberOfMillenniumProblems
Indicates the total count of Millennium Problems associated with a given subject or context.
-
C.
yearFormulatedAsMillenniumProblem
Indicates the year in which a given problem was officially designated as one of the Millennium Prize Problems.
-
D.
positionInHilbertProblems
Indicates the specific numbered place that a given problem occupies within the list of Hilbert's problems.
-
E.
problemType
Indicates the specific category or classification of a problem within a defined problem space or system.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d795d1e918819090c71f5a077fa15a |
completed | April 9, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69d72e93ac648190b46c5d12bf3eb1e9 |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d732242fdc8190be77d1f730a42935 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.