Triple

T16400300
Position Surface form Disambiguated ID Type / Status
Subject Pradhan Mantri Jan Dhan Yojana E398292 entity
Predicate insuranceCoverLife P18388 FINISHED
Object ₹30,000 (for eligible account holders) 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: ₹30,000 (for eligible account holders) | Statement: [Pradhan Mantri Jan Dhan Yojana, insuranceCoverLife, ₹30,000 (for eligible account holders)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: insuranceCoverLife
Context triple: [Pradhan Mantri Jan Dhan Yojana, insuranceCoverLife, ₹30,000 (for eligible account holders)]
  • A. insuranceType
    Indicates the specific category or kind of insurance coverage associated with an entity or relationship.
  • B. insurance chosen
    Indicates a relationship where one party provides financial protection or coverage to another against specified risks or losses, typically in exchange for payment.
  • C. benefitProtection
    Indicates that one entity provides protective advantages or safeguards that benefit another entity.
  • D. guaranteeCoverage
    Indicates that one party commits to providing financial or protective coverage for another party or specified situation.
  • E. riskCoverage
    Indicates the extent to which a particular risk is protected against, mitigated, or compensated for by a policy, measure, or arrangement.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327cea4e481908400b852a5a7032a completed April 18, 2026, 6:42 a.m.
PD Predicate disambiguation batch_69e226fe1dd08190865c181721f8c348 completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:09 a.m.