Triple

T2236059
Position Surface form Disambiguated ID Type / Status
Subject Newbury, Berkshire E49282 entity
Predicate isHeadquartersOf P62 FINISHED
Object Micro Focus International E209545 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: Micro Focus International | Statement: [Newbury, Berkshire, isHeadquartersOf, Micro Focus International]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Micro Focus International
Context triple: [Newbury, Berkshire, isHeadquartersOf, Micro Focus International]
  • A. Micro Focus chosen
    Micro Focus is a British multinational software and information technology company known for providing enterprise-level application modernization, testing, and management solutions.
  • B. Capgemini
    Capgemini is a global consulting, technology services, and digital transformation company headquartered in France.
  • C. 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.
  • D. Symantec
    Symantec is a cybersecurity and software company best known for its Norton antivirus products and enterprise security solutions.
  • E. Trend Micro
    Trend Micro is a global cybersecurity company known for its antivirus, cloud security, and enterprise threat protection solutions.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc093ba0c819091df09a0e018fce1 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b08c5248190924a28f4c1bd0e2c completed March 9, 2026, 6:39 a.m.
Created at: March 4, 2026, 7:47 p.m.