Triple

T28757685
Position Surface form Disambiguated ID Type / Status
Subject Vasant Vihar E731714 entity
Predicate hasInstitution P186 FINISHED
Object Delhi Public School Vasant Vihar
Delhi Public School Vasant Vihar is a branch of the prominent DPS educational chain in New Delhi, known for its strong academic curriculum and co-curricular programs for school-age students.
E1839179 NE 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: Delhi Public School Vasant Vihar | Statement: [Vasant Vihar, hasInstitution, Delhi Public School Vasant Vihar]
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: Delhi Public School Vasant Vihar
Triple: [Vasant Vihar, hasInstitution, Delhi Public School Vasant Vihar]
Generated description
Delhi Public School Vasant Vihar is a branch of the prominent DPS educational chain in New Delhi, known for its strong academic curriculum and co-curricular programs for school-age students.

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_69f043ed68a881909e858a06bab7a247 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f657fc362881909ae596789cf9c797 completed May 2, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24d3e855248190ad4231758f4b66ba completed June 7, 2026, 2:14 a.m.
NEDg Description generation batch_6a24df2775f88190b0c8a1e2089d9312 completed June 7, 2026, 3:01 a.m.
NED2 Entity disambiguation (via description) batch_6a24dff0acbc8190ba867bae807ee9c4 completed June 7, 2026, 3:05 a.m.
Created at: April 28, 2026, 6:10 a.m.