Triple
T37675949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paper I |
E938093
|
entity |
| Predicate | questionsToBeAttempted |
P15109
|
FINISHED |
| Object | 50 |
—
|
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: 50 | Statement: [Paper I, questionsToBeAttempted, 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: questionsToBeAttempted Context triple: [Paper I, questionsToBeAttempted, 50]
-
A.
numberOfQuestions
chosen
Indicates the total count of questions associated with or contained in a given entity or context.
-
B.
questionPresented
Indicates that a question has been posed or displayed to an entity for consideration or response.
-
C.
hasNumberOfPossibleAnswers
Indicates the quantity of distinct answers or response options that are possible for a given item, question, or situation.
-
D.
numberOfProblems
Indicates the quantity or count of problems associated with a given entity or situation.
-
E.
questionsPerPassage
Indicates the number of questions that are associated with or derived from a single passage.
- 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_69f76ed7b1408190ba8c93c53cb8becf |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 3, 2026, 4:18 p.m.