Triple
T25441521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jawahar Navodaya Vidyalaya Selection Test |
E637517
|
entity |
| Predicate | mediumOfQuestionPaper |
P158520
|
FINISHED |
| Object | regional language |
—
|
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: regional language | Statement: [Jawahar Navodaya Vidyalaya Selection Test, mediumOfQuestionPaper, regional language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumOfQuestionPaper Context triple: [Jawahar Navodaya Vidyalaya Selection Test, mediumOfQuestionPaper, regional language]
-
A.
examType
Indicates the specific category or format of an exam associated with an assessment or testing event.
-
B.
paper1Type
Indicates that one entity is classified as the primary or first type/category of the associated paper entity.
-
C.
examPatternIncludes
Indicates that a particular exam pattern contains or encompasses a specified component, section, or element as part of its structure.
-
D.
mainsPaperType
Indicates the type or category of paper associated with a mains (main) examination or assessment.
-
E.
mediumOfInstruction
Indicates that a particular language or medium is used as the primary means of instruction or teaching in an educational context.
- 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_69e75db6c97081908178383fa632b193 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6e73f308190a6e6c6e85fecaeb2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 2 p.m.