Triple

T7857513
Position Surface form Disambiguated ID Type / Status
Subject Microsoft Office RT E182414 entity
Predicate includesApplication P14571 FINISHED
Object Word E56704 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: Word | Statement: [Microsoft Office RT, includesApplication, Word]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Word
Context triple: [Microsoft Office RT, includesApplication, Word]
  • A. Word chosen
    Word is Microsoft’s widely used word processing application for creating, editing, and formatting text documents.
  • B. WordPad
    WordPad is a basic word processing application for Microsoft Windows that offers more features than Notepad but fewer than full office suites like Microsoft Word.
  • C. WPS
    WPS (Wi-Fi Protected Setup) is a wireless network security standard designed to simplify the process of connecting devices to a Wi-Fi network, but it is widely known for serious security vulnerabilities that make it susceptible to brute-force attacks.
  • D. WPS
    WPS was a top-tier professional women’s soccer league in the United States that operated from 2009 to 2012.
  • E. Corel WordPerfect Office
    Corel WordPerfect Office is an office productivity suite by Corel that includes word processing, spreadsheet, presentation, and related tools, historically popular as an alternative to Microsoft Office.
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a76f8648190976b488d0d8658ef completed March 31, 2026, 12:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b32eaf88190aae55aaeb963c50b completed March 31, 2026, 5:27 a.m.
Created at: March 30, 2026, 4:52 p.m.