Triple
T20547123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joint Entrance Examination (JEE Advanced) |
E504497
|
entity |
| Predicate | examStructure |
P65570
|
FINISHED |
| Object | typically two compulsory papers |
—
|
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: typically two compulsory papers | Statement: [Joint Entrance Examination (JEE Advanced), examStructure, typically two compulsory papers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: examStructure Context triple: [Joint Entrance Examination (JEE Advanced), examStructure, typically two compulsory papers]
-
A.
examType
Indicates the specific category or format of an exam associated with an assessment or testing event.
-
B.
examPatternIncludes
chosen
Indicates that a particular exam pattern contains or encompasses a specified component, section, or element as part of its structure.
-
C.
examSystem
Indicates a relationship where an entity functions as or belongs to an examination system, such as a framework or platform for creating, administering, or managing exams.
-
D.
questionStructure
Indicates the structural or grammatical arrangement that defines how a question is formed or organized.
-
E.
examContentArea
Indicates that an exam includes or focuses on a particular content area or subject domain.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a2991ac8819089b8c2d70eb88952 |
completed | April 20, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:38 a.m.