Triple
T20547115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joint Entrance Examination (JEE Advanced) |
E504497
|
entity |
| Predicate | markingScheme |
P89407
|
FINISHED |
| Object | includes negative marking for many question types |
—
|
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: includes negative marking for many question types | Statement: [Joint Entrance Examination (JEE Advanced), markingScheme, includes negative marking for many question types]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: markingScheme Context triple: [Joint Entrance Examination (JEE Advanced), markingScheme, includes negative marking for many question types]
-
A.
marks
Indicates that one entity makes a visible or symbolic sign on, or designates, another entity for identification, emphasis, or distinction.
-
B.
passMark
Indicates that an entity has achieved a score or performance level that meets or exceeds the required threshold for passing.
-
C.
scoring
Indicates the act of achieving points or a measurable result, typically by successfully completing an action that contributes to a score or outcome.
-
D.
scoringDetail
chosen
Indicates a detailed breakdown of how a score was derived, including specific components, criteria, or events contributing to the overall score.
-
E.
scoreAssignment
Indicates evaluating and assigning a grade or numerical score to an assignment.
- 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.