Triple

T2516380
Position Surface form Disambiguated ID Type / Status
Subject National Stock Exchange of India E55421 entity
Predicate typeOfTradingSystem P12491 FINISHED
Object fully electronic 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: fully electronic | Statement: [National Stock Exchange of India, typeOfTradingSystem, fully electronic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfTradingSystem
Context triple: [National Stock Exchange of India, typeOfTradingSystem, fully electronic]
  • A. tradeSystem
    Indicates a system or framework through which goods, services, or assets are exchanged between parties under defined rules or mechanisms.
  • B. electronicTradingPlatform
    Indicates a relationship where financial instruments are bought and sold through an electronic trading system or marketplace rather than via traditional manual or floor-based methods.
  • C. hasElectronicTradingSystem chosen
    Indicates that an entity operates or utilizes an electronic system for executing trades or transactions.
  • D. marketType
    Indicates the classification or category of market in which an entity operates or a transaction occurs (e.g., retail, wholesale, online).
  • E. hasTradingModel
    Indicates that one entity uses, is governed by, or is associated with a particular trading model.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd5a33234819082ad49fa6594b6be completed March 7, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69abd0bf37c0819088d28b5081ba7556 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:46 p.m.