Triple
T5780078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Defence Academy and Naval Academy Examination |
E127533
|
entity |
| Predicate | writtenExamSubjectsInclude |
P66416
|
FINISHED |
| Object | Mathematics |
—
|
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: Mathematics | Statement: [National Defence Academy and Naval Academy Examination, writtenExamSubjectsInclude, Mathematics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writtenExamSubjectsInclude Context triple: [National Defence Academy and Naval Academy Examination, writtenExamSubjectsInclude, Mathematics]
-
A.
writtenExamRequiredBefore
Indicates that completing a written exam is a prerequisite that must occur before another specified action or event.
-
B.
examType
Indicates the specific category or format of an exam associated with an assessment or testing event.
-
C.
entranceExam
Indicates that an entity is required to pass or participate in an entrance examination as a condition for admission or access to another entity.
-
D.
subjectTestsStatus
Indicates that a subject performs a test to determine or verify the status or condition of another entity.
-
E.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021d0c6088190ba670ddcdbf5ca3e |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c02ac9603481909e3fa295d7904a15 |
completed | March 22, 2026, 5:45 p.m. |
Created at: March 22, 2026, 3:50 p.m.