Triple

T805212
Position Surface form Disambiguated ID Type / Status
Subject ChatGPT Plus E17414 entity
Predicate isVersionOf P15288 FINISHED
Object ChatGPT service E17414 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: ChatGPT service | Statement: [ChatGPT Plus, isVersionOf, ChatGPT service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ChatGPT service
Context triple: [ChatGPT Plus, isVersionOf, ChatGPT service]
  • A. ChatGPT
    ChatGPT is an advanced conversational AI model developed by OpenAI that can understand and generate human-like text across a wide range of topics and tasks.
  • B. ChatGPT Plus chosen
    ChatGPT Plus is a paid subscription tier of OpenAI’s ChatGPT service that offers enhanced access, faster performance, and priority use of advanced models compared to the free version.
  • C. GPT-3.5
    GPT-3.5 is a large language model that generates human-like text and powers conversational AI applications such as advanced chatbots and coding assistants.
  • D. ChatGPT Enterprise
    ChatGPT Enterprise is OpenAI’s business-grade version of ChatGPT, offering enhanced security, admin controls, and scalable access to advanced AI capabilities for organizations.
  • E. Grok
    Grok is an AI chatbot developed by xAI, designed to provide conversational access to real-time information and reasoning capabilities.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aabff3d88190bec4299fa0d87df0 completed March 1, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7928af9d0819095b28e738a0f60dd completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:38 p.m.