Triple

T9698718
Position Surface form Disambiguated ID Type / Status
Subject Dev Sanskriti Vishwavidyalaya E234718 entity
Predicate shortName P43 FINISHED
Object DSVV
DSVV is an Indian university known for integrating modern education with Indian culture, spirituality, and value-based learning.
 E814990 NE FINISHED

How this triple was built (4 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: DSVV | Statement: [Dev Sanskriti Vishwavidyalaya, shortName, DSVV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DSVV
Context triple: [Dev Sanskriti Vishwavidyalaya, shortName, DSVV]
  • A. SVV
    SVV is the abbreviation for the Norwegian Public Roads Administration, the national authority responsible for planning, building, operating, and maintaining Norway’s public road network.
  • B. SSV
    SSV is a lightweight, off-road side-by-side vehicle class commonly used in rally raid competitions for its agility and versatility over rough terrain.
  • C. FSVO
    FSVO is the Swiss federal authority responsible for overseeing food safety, animal health, and animal welfare in Switzerland.
  • D. VDV
    VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
  • E. RVR
    RVR is the standard abbreviation for the Reina-Valera, a widely used Spanish translation of the Bible.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: DSVV
Triple: [Dev Sanskriti Vishwavidyalaya, shortName, DSVV]
Generated description
DSVV is an Indian university known for integrating modern education with Indian culture, spirituality, and value-based learning.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DSVV
Target entity description: DSVV is an Indian university known for integrating modern education with Indian culture, spirituality, and value-based learning.
  • A. SVV
    SVV is the abbreviation for the Norwegian Public Roads Administration, the national authority responsible for planning, building, operating, and maintaining Norway’s public road network.
  • B. SSV
    SSV is a lightweight, off-road side-by-side vehicle class commonly used in rally raid competitions for its agility and versatility over rough terrain.
  • C. FSVO
    FSVO is the Swiss federal authority responsible for overseeing food safety, animal health, and animal welfare in Switzerland.
  • D. VDV
    VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
  • E. RVR
    RVR is the standard abbreviation for the Reina-Valera, a widely used Spanish translation of the Bible.
  • F. None of above. chosen

Provenance (5 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d3d425c8190b652d84186b5ce9f completed April 1, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1912a551c8190bd6b48790f117f71 completed April 4, 2026, 10:31 p.m.
NEDg Description generation batch_69d193d8dd7c819094ca47105c3135e6 completed April 4, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d1943d67988190aac089266d2d4abc completed April 4, 2026, 10:44 p.m.
Created at: March 30, 2026, 8:18 p.m.