Triple
T16400298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pradhan Mantri Jan Dhan Yojana |
E398292
|
entity |
| Predicate | insuranceCoverAccidental |
P18388
|
FINISHED |
| Object | ₹1,00,000 (initial) |
—
|
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: ₹1,00,000 (initial) | Statement: [Pradhan Mantri Jan Dhan Yojana, insuranceCoverAccidental, ₹1,00,000 (initial)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: insuranceCoverAccidental Context triple: [Pradhan Mantri Jan Dhan Yojana, insuranceCoverAccidental, ₹1,00,000 (initial)]
-
A.
riskCoverage
Indicates the extent to which a particular risk is protected against, mitigated, or compensated for by a policy, measure, or arrangement.
-
B.
accident
Indicates an unintended, unforeseen event or mishap occurring, often resulting in damage, injury, or disruption.
-
C.
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.
-
D.
airCover
Indicates the provision of protective support from the air (such as aircraft or aerial defenses) to shield or assist another force, operation, or asset.
-
E.
causedAccident
Indicates that one entity is responsible for bringing about or initiating an accident involving another entity or situation.
- 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.