Triple

T20803393
Position Surface form Disambiguated ID Type / Status
Subject Accenture E512094 entity
Predicate hasCompetitor P1375 FINISHED
Object Tata Consultancy Services NE NERFINISHED

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: Tata Consultancy Services | Statement: [Accenture, hasCompetitor, Tata Consultancy Services]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tata Consultancy Services
Context triple: [Accenture, hasCompetitor, Tata Consultancy Services]
  • A. Tata Consultancy Services chosen
    Tata Consultancy Services is a leading global IT services, consulting, and business solutions company headquartered in India and part of the Tata Group conglomerate.
  • B. Infosys
    Infosys is a leading Indian multinational IT services and consulting company known for its global technology solutions and innovation initiatives.
  • C. Wipro Limited
    Wipro Limited is a major Indian multinational information technology, consulting, and business process services company headquartered in Bengaluru.
  • 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 (2 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2b2d5688190aaa58a2594d4787c completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:39 p.m.