Triple
T1523305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millennium Prize Problem |
E32278
|
entity |
| Predicate | numberOfProblems |
P30117
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Millennium Prize Problem, numberOfProblems, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfProblems Context triple: [Millennium Prize Problem, numberOfProblems, 7]
-
A.
numberOfQuestions
Indicates the total count of questions associated with or contained in a given entity or context.
-
B.
numberOfTests
Indicates the quantity of tests associated with or performed in a given context or entity.
-
C.
numberOfEssays
Indicates the quantity of essays associated with a given entity or context.
-
D.
commonlySolvedBy
Indicates that a problem, task, or issue is typically addressed or resolved through a particular method, tool, or agent.
-
E.
problems
Indicates that one entity has issues, difficulties, or complications associated with or caused by another entity.
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93d4756888190bf3872154de11539 |
completed | March 5, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69a907ac7ea081908dd95bb5cc3b9847 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a93d462f208190b27ef5cd631bce12 |
completed | March 5, 2026, 8:22 a.m. |
Created at: March 4, 2026, 7:26 p.m.