Triple

T9743891
Position Surface form Disambiguated ID Type / Status
Subject Viswanathan Anand E236257 entity
Predicate sponsor P67 FINISHED
Object NIIT E490397 NE 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: NIIT | Statement: [Viswanathan Anand, sponsor, NIIT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NIIT
Context triple: [Viswanathan Anand, sponsor, NIIT]
  • A. NIIT chosen
    NIIT is an Indian multinational skills and talent development company best known for its IT and education training services.
  • B. Nifty IT
    Nifty IT is a sectoral stock market index in India that tracks the performance of leading information technology companies listed on the National Stock Exchange.
  • C. NSDC
    NSDC is Ukraine’s top national security and defense policymaking body that coordinates and oversees the country’s security, military, and strategic interests.
  • D. NASSCOM
    NASSCOM is an Indian trade association and industry body representing the country’s information technology (IT) and business process management (BPM) sectors.
  • E. National Information Technology Development Agency
    The National Information Technology Development Agency is a Nigerian government body responsible for formulating and implementing national IT policies, regulations, and initiatives to drive the country’s digital development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2e5bb081908047e3bf5fe3991c completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1affb761881908dde9a4f028c32f6 completed April 5, 2026, 12:42 a.m.
Created at: March 30, 2026, 8:23 p.m.