Triple

T7936704
Position Surface form Disambiguated ID Type / Status
Subject HCL Technologies E184303 entity
Predicate brand P1500 FINISHED
Object HCLTech E184303 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: HCLTech | Statement: [HCL Technologies, brand, HCLTech]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HCLTech
Context triple: [HCL Technologies, brand, HCLTech]
  • A. HCL Technologies chosen
    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.
  • B. HCL
    HCL is the commonly used abbreviation for HC Lugano, a professional ice hockey club based in Lugano, Switzerland.
  • C. Infosys
    Infosys is a leading Indian multinational IT services and consulting company known for its global technology solutions and innovation initiatives.
  • D. EdgeVerve Systems
    EdgeVerve Systems is a technology company specializing in software products and platforms, particularly in areas like banking, automation, and artificial intelligence.
  • E. Capgemini
    Capgemini is a global consulting, technology services, and digital transformation company headquartered in France.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aede3cc81908b0d3b54e68997b9 completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc937366b8819091f08f8f7facf6f6 completed April 1, 2026, 3:39 a.m.
Created at: March 30, 2026, 5:08 p.m.