Triple

T7608451
Position Surface form Disambiguated ID Type / Status
Subject Mohamed Premji E180168 entity
Predicate business P12567 FINISHED
Object Wipro E31804 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: Wipro | Statement: [Mohamed Premji, business, Wipro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wipro
Context triple: [Mohamed Premji, business, Wipro]
  • A. Wipro Limited chosen
    Wipro Limited is a major Indian multinational information technology, consulting, and business process services company headquartered in Bengaluru.
  • B. Wipro Enterprises (P) Limited
    Wipro Enterprises (P) Limited is an Indian diversified business conglomerate focused on non-IT sectors such as consumer care, lighting, infrastructure engineering, and other manufacturing-led businesses.
  • C. Infosys
    Infosys is a leading Indian multinational IT services and consulting company known for its global technology solutions and innovation initiatives.
  • D. 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.
  • E. Tata Consultancy Services
    Tata Consultancy Services is a leading global IT services, consulting, and business solutions company headquartered in India and part of the Tata Group conglomerate.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6fa1de8a4819091f9e9347835ce16 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c87094139481909858399a082f4a29 completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:54 p.m.