Triple

T34085009
Position Surface form Disambiguated ID Type / Status
Subject NSE: BANKNIFTY E874154 entity
Predicate hasRealTimeQuotes P130745 FINISHED
Object true 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: true | Statement: [NSE: BANKNIFTY, hasRealTimeQuotes, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRealTimeQuotes
Context triple: [NSE: BANKNIFTY, hasRealTimeQuotes, true]
  • A. hasRealTimeInformation
    Indicates that up-to-date, continuously refreshed information is available about the related entity or event.
  • B. supportsRealTime chosen
    Indicates that one entity provides or enables real-time operation, processing, or interaction for another entity or process.
  • C. hasTradingHours
    Indicates that an entity operates or is available for trading during specified time periods.
  • D. hasMarketData
    Indicates that an entity possesses or is associated with relevant market-related information or statistics.
  • E. supportsRealTimeMonitoring
    Indicates that an entity provides the capability to observe and track relevant data or events continuously as they occur in real time.
  • 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_69f349a61d448190b74642f325d3eb7a completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_6a037c8ae0248190b7e2ce4bf852c22d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379f963908190846d232f386fd98f completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:52 a.m.