Triple

T314841
Position Surface form Disambiguated ID Type / Status
Subject ChromeOS E7683 entity
Predicate supports P516 FINISHED
Object Google Assistant E13773 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: Google Assistant | Statement: [ChromeOS, supports, Google Assistant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Assistant
Context triple: [ChromeOS, supports, Google Assistant]
  • A. Google Assistant chosen
    Google Assistant is Google's AI-powered virtual assistant that provides voice-activated help, information, and smart device control across phones, speakers, watches, and other connected devices.
  • B. Alexa
    Alexa is Amazon’s cloud-based virtual assistant that uses voice interaction to control smart devices, answer questions, and perform a variety of digital tasks.
  • C. Goole
    Goole is an inland port town in the East Riding of Yorkshire, England, known for its significant docks and role in regional maritime trade.
  • D. Grok
    Grok is an AI chatbot developed by xAI, designed to provide conversational access to real-time information and reasoning capabilities.
  • E. Google
    Google is a multinational technology company best known for its search engine and wide range of internet-related products and services, including Android, YouTube, and cloud computing.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea62f830819089e94b3aa3e4e187 completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3c41a499081909b5aa82432daf96d completed March 1, 2026, 4:44 a.m.
Created at: Feb. 28, 2026, 1:07 p.m.