Triple
T25941299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jawahar Navodaya Vidyalaya, Bahraich |
E653705
|
entity |
| Predicate | boardExaminations |
P140506
|
FINISHED |
| Object |
CBSE Class X
CBSE Class X is the nationwide secondary school board examination in India conducted by the Central Board of Secondary Education, typically taken by students at the end of grade 10.
|
E1701271
|
NE FINISHED |
How this triple was built (3 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: CBSE Class X | Statement: [Jawahar Navodaya Vidyalaya, Bahraich, boardExaminations, CBSE Class X]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CBSE Class X Triple: [Jawahar Navodaya Vidyalaya, Bahraich, boardExaminations, CBSE Class X]
Generated description
CBSE Class X is the nationwide secondary school board examination in India conducted by the Central Board of Secondary Education, typically taken by students at the end of grade 10.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boardExaminations Context triple: [Jawahar Navodaya Vidyalaya, Bahraich, boardExaminations, CBSE Class X]
-
A.
examType
Indicates the specific category or format of an exam associated with an assessment or testing event.
-
B.
examCategory
chosen
Indicates the classification or type of an exam within a defined set of exam categories.
-
C.
examinationBodyName
Indicates the name of the organization or authority responsible for administering or overseeing an examination.
-
D.
workExamined
Indicates that one entity has examined, reviewed, or studied the work produced by another entity.
-
E.
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.
- F. None of above.
Provenance (6 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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6045dedb4819087530b823c036d51 |
completed | May 2, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10ece0b9488190a26ac177ecc9b7d2 |
completed | May 22, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_6a10ee7a469881908be91b7901ada3a2 |
completed | May 23, 2026, 12:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10ef6795e08190a1ba5f600628316b |
completed | May 23, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:40 a.m.