Triple
T11690264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navodaya Vidyalaya Samiti |
E277848
|
entity |
| Predicate | selectionTestLevel |
P31955
|
FINISHED |
| Object | class VI entry |
—
|
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: class VI entry | Statement: [Navodaya Vidyalaya Samiti, selectionTestLevel, class VI entry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionTestLevel Context triple: [Navodaya Vidyalaya Samiti, selectionTestLevel, class VI entry]
-
A.
testingLevel
chosen
Indicates the degree or intensity to which something is examined, evaluated, or tested.
-
B.
matchLevel
Indicates the degree or extent to which two entities correspond, align, or are compatible with each other.
-
C.
assessmentLevel
Indicates the degree, rating, or intensity assigned to an evaluation or judgment of something.
-
D.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
E.
enrollmentLevel
Indicates the degree or status of participation an entity has in a particular enrollment context (such as a program, course, or service).
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a478f4c481908b2ba7b70972590d |
completed | April 10, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69d88a7b30948190b616a9db5c5488d5 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.