Triple

T3197798
Position Surface form Disambiguated ID Type / Status
Subject Indian Institute of Technology Madras E66973 entity
Predicate hasOnlineDegreeProgram P2505 FINISHED
Object B.S. in Data Science and Applications 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: B.S. in Data Science and Applications | Statement: [Indian Institute of Technology Madras, hasOnlineDegreeProgram, B.S. in Data Science and Applications]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOnlineDegreeProgram
Context triple: [Indian Institute of Technology Madras, hasOnlineDegreeProgram, B.S. in Data Science and Applications]
  • A. hasOnlinePrograms chosen
    Indicates that an entity offers or provides programs, courses, or services that are available online.
  • B. hasOnlineCampus
    Indicates that an institution or organization offers a campus or learning environment that is accessible via the internet.
  • C. hasUndergraduatePrograms
    Indicates that an educational institution offers one or more undergraduate-level academic programs.
  • D. hasDoctoralProgram
    Indicates that an institution or academic unit offers and administers a doctoral-level degree program.
  • E. hasDoctoralPrograms
    Indicates that an institution offers one or more doctoral-level academic degree programs.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada7192994819084817307065a25e2 completed March 8, 2026, 4:43 p.m.
PD Predicate disambiguation batch_69ad9e05e4f48190adbe4366cdba2349 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:07 p.m.