Triple
T3780902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulam sequence |
E85412
|
entity |
| Predicate | hasOpenProblems |
P42093
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ulam sequence, hasOpenProblems, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpenProblems Context triple: [Ulam sequence, hasOpenProblems, true]
-
A.
hasOpenQuestions
chosen
Indicates that there are unresolved or unanswered issues, problems, or inquiries associated with the referenced entity or context.
-
B.
numberOfProblems
Indicates the quantity or count of problems associated with a given entity or situation.
-
C.
hasFirstSolvedProblem
Indicates that an entity is the first one to have successfully solved a particular problem.
-
D.
hasChallenge
Indicates that an entity faces, experiences, or is confronted with a particular difficulty, obstacle, or problem.
-
E.
numberOfIssues
Indicates the quantity of issues associated with a given entity or context.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee634c6ac819099653c660c286746 |
completed | March 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69aee3d3c92c819081d9d5c45ef37a5d |
completed | March 9, 2026, 3:14 p.m. |
Created at: March 9, 2026, 3:12 p.m.