Triple
T8850255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilbert’s seventeenth problem |
E210619
|
entity |
| Predicate | solutionPublishedInYear |
P30119
|
FINISHED |
| Object | 1927 |
—
|
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: 1927 | Statement: [Hilbert’s seventeenth problem, solutionPublishedInYear, 1927]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: solutionPublishedInYear Context triple: [Hilbert’s seventeenth problem, solutionPublishedInYear, 1927]
-
A.
solutionYears
Indicates the number of years a particular solution has been in effect, in use, or valid within the given context.
-
B.
firstSolutionYear
chosen
Indicates the year in which the first solution to a given problem, task, or case was achieved or recorded.
-
C.
publicationYear
Indicates the specific calendar year in which a work was formally published or released.
-
D.
lastPublicationYear
Indicates the year in which an entity’s most recent publication was released.
-
E.
introducedInPublicationYear
Indicates the year in which something (such as a concept, method, or product) was first introduced or presented in a publication.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60abb0748190af41d4e1f419e39c |
completed | April 1, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69cc5c25b874819084c9ba391703e066 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:49 p.m.