Triple

T13652462
Position Surface form Disambiguated ID Type / Status
Subject Finacle E326772 entity
Predicate brandOwner P347 FINISHED
Object Infosys 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 | Statement: [Finacle, brandOwner, Infosys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Infosys
Context triple: [Finacle, brandOwner, Infosys]
  • A. Infosys chosen
    Infosys is a leading Indian multinational IT services and consulting company known for its global technology solutions and innovation initiatives.
  • B. Wipro Limited
    Wipro Limited is a major Indian multinational information technology, consulting, and business process services company headquartered in Bengaluru.
  • C. 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.
  • D. 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.
  • 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_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_69fbac7c8bbc81908c7aa15c6892be34 completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 9:52 p.m.