Triple

T14387895
Position Surface form Disambiguated ID Type / Status
Subject Google services ecosystem E356771 entity
Predicate includesService P1393 FINISHED
Object Google Forms E35331 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 Forms | Statement: [Google services ecosystem, includesService, Google Forms]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Forms
Context triple: [Google services ecosystem, includesService, Google Forms]
  • A. Google Forms chosen
    Google Forms is a web-based application for creating, distributing, and analyzing online surveys, quizzes, and data collection forms.
  • B. Microsoft Forms
    Microsoft Forms is a web-based application from Microsoft that lets users easily create surveys, quizzes, and polls and collect responses in real time.
  • C. Zoho Forms
    Zoho Forms is an online form builder and data collection tool that lets users create, share, and manage forms and surveys with integrated workflows and analytics.
  • D. Typeform
    Typeform is an online platform for creating interactive, conversational forms, surveys, and quizzes that emphasize user-friendly design and engagement.
  • E. SurveyMonkey
    SurveyMonkey is a leading online survey and experience management platform that enables individuals and organizations to create, distribute, and analyze surveys and feedback data.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90283b9c8190b50d30ad58bfe085 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551623608190ba1de09b423cc5e1 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.