Triple

T13652391
Position Surface form Disambiguated ID Type / Status
Subject EdgeVerve Systems E326771 entity
Predicate knownFor P22 FINISHED
Object Infosys Nia E64550 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: Infosys Nia | Statement: [EdgeVerve Systems, knownFor, Infosys Nia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Infosys Nia
Context triple: [EdgeVerve Systems, knownFor, Infosys Nia]
  • A. Infosys chosen
    Infosys is a leading Indian multinational IT services and consulting company known for its global technology solutions and innovation initiatives.
  • B. IBM India
    IBM India is the Indian subsidiary of International Business Machines Corporation, providing a wide range of IT services, consulting, and technology solutions across the country.
  • C. Nisum Technologies
    Nisum Technologies is a global technology consulting and software development firm specializing in digital transformation, e-commerce, and enterprise solutions for large and mid-sized businesses.
  • D. L&T Infotech
    L&T Infotech is a global IT services and consulting company that provides technology solutions, digital transformation, and outsourcing services across various industries.
  • E. HCL Technologies
    HCL Technologies is a global Indian IT services and consulting company known for providing software development, infrastructure management, and digital transformation solutions to enterprises worldwide.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc609676c8190b5b1cabe6b315142 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78affa3c481909dba71e2ce9f44c1 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:52 p.m.