Triple

T6970381
Position Surface form Disambiguated ID Type / Status
Subject National Electronic Funds Transfer system E161583 entity
Predicate supportsParticipant P33564 FINISHED
Object banks in India 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: banks in India | Statement: [National Electronic Funds Transfer system, supportsParticipant, banks in India]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsParticipant
Context triple: [National Electronic Funds Transfer system, supportsParticipant, banks in India]
  • A. supportsParticipantType chosen
    Indicates that an entity is compatible with, or designed to work with, a specified type or category of participant.
  • B. participantFrom
    Indicates that a participant originates from, is associated with, or comes out of a specified source, group, or context.
  • C. supportsActivity
    Indicates that one entity provides the necessary conditions, resources, or environment for another entity’s activity to occur or be sustained.
  • D. supportsCommittee
    Indicates that one entity provides backing, endorsement, or assistance to a committee.
  • E. supportsRole
    Indicates that one entity provides the necessary functionality, resources, or conditions for another entity to perform or occupy a specific role.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1649288190a52c7dab57b3c7dc completed March 27, 2026, 7:31 p.m.
PD Predicate disambiguation batch_69c6d7c262508190a7708b3d9cf23d7c completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:30 p.m.