Triple

T20803387
Position Surface form Disambiguated ID Type / Status
Subject Accenture E512094 entity
Predicate hasCompetitor P1375 FINISHED
Object IBM Consulting 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: IBM Consulting | Statement: [Accenture, hasCompetitor, IBM Consulting]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IBM Consulting
Context triple: [Accenture, hasCompetitor, IBM Consulting]
  • A. IBM chosen
    IBM is a multinational technology and consulting company known for its pioneering work in computer hardware, software, and enterprise services.
  • B. Accenture
    Accenture is a global professional services company specializing in consulting, technology, and outsourcing solutions for businesses and governments worldwide.
  • C. Andersen Consulting
    Andersen Consulting was a major global management and technology consulting firm that later became Accenture, known for advising corporations and governments on strategy, operations, and IT.
  • D. Cognizant
    Cognizant is a multinational information technology services and consulting company known for providing digital, technology, consulting, and operations services to clients worldwide.
  • E. IBM Research
    IBM Research is the research and development division of IBM, renowned for pioneering advances in computer science and artificial intelligence.
  • 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.