Triple

T22660186
Position Surface form Disambiguated ID Type / Status
Subject Shaurya Chakra E559639 entity
Predicate monetaryAllowance P84483 FINISHED
Object may include monetary allowance as per government rules 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: may include monetary allowance as per government rules | Statement: [Shaurya Chakra, monetaryAllowance, may include monetary allowance as per government rules]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: monetaryAllowance
Context triple: [Shaurya Chakra, monetaryAllowance, may include monetary allowance as per government rules]
  • A. hasMonetaryGrant
    Indicates that an entity provides or receives a monetary grant from another entity.
  • B. monetaryLimit
    Indicates a constraint or maximum allowable amount of money associated with an action, transaction, or relationship.
  • C. monetaryReward chosen
    Indicates that one entity provides or promises a payment of money to another as compensation, incentive, or prize.
  • D. authorizedSpending
    Indicates that an entity has been granted permission to spend or allocate a specified amount of resources, typically funds, under defined conditions.
  • E. monetaryComponent
    Indicates that something is a financial element or part of a larger monetary value, structure, or transaction.
  • 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765edf88819086c28525e3c73758 completed April 29, 2026, 3:09 a.m.
PD Predicate disambiguation batch_69ee6294c4c08190b7e4829f4b9af24b completed April 26, 2026, 7:08 p.m.
Created at: April 17, 2026, 3:07 p.m.