Triple

T1611434
Position Surface form Disambiguated ID Type / Status
Subject Premium Career E34622 entity
Predicate partOf P40 FINISHED
Object LinkedIn Premium E34622 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: LinkedIn Premium | Statement: [Premium Career, partOf, LinkedIn Premium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LinkedIn Premium
Context triple: [Premium Career, partOf, LinkedIn Premium]
  • A. LinkedIn
    LinkedIn is a professional networking platform and social media service focused on careers, business connections, and job opportunities.
  • B. Premium Career chosen
    Premium Career is a paid LinkedIn subscription tier that offers enhanced job-search, networking, and profile visibility tools for professionals.
  • C. LinkedIn Learning
    LinkedIn Learning is an online educational platform offering video-based courses in business, technology, and creative skills, integrated with LinkedIn for professional development and career growth.
  • D. Coursera Plus
    Coursera Plus is a subscription service that provides unlimited access to a large catalog of Coursera’s online courses, specializations, and professional certificates for a flat annual or monthly fee.
  • E. Glassdoor
    Glassdoor is an online platform where employees and former employees anonymously review companies, share salary information, and browse job listings.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa622b9fbc8190bff82acdde10deb6 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51c751308190a89f6462ee365418 completed March 8, 2026, 10:39 a.m.
Created at: March 4, 2026, 7:28 p.m.