Triple

T9963211
Position Surface form Disambiguated ID Type / Status
Subject WordPad E195617 entity
Predicate supportsFileFormat P8463 FINISHED
Object Rich Text Format E184240 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: Rich Text Format | Statement: [WordPad, supportsFileFormat, Rich Text Format]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rich Text Format
Context triple: [WordPad, supportsFileFormat, Rich Text Format]
  • A. Rich Text Format chosen
    Rich Text Format (RTF) is a cross-platform document file format developed by Microsoft that preserves basic text formatting and structure while remaining readable by many word processors.
  • B. OpenDocument format
    OpenDocument format is an open, XML-based file format standard for office documents such as text, spreadsheets, and presentations, designed for interoperability across different software suites.
  • C. FORMAT
    FORMAT is a FreeDOS utility program used to prepare and initialize disks or partitions with a file system for use by the operating system.
  • D. Markdown
    Markdown is a lightweight markup language that uses plain-text formatting syntax to create structured documents, most commonly used for README files, documentation, and web content.
  • E. 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.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb718cd588190a4aac48220deddec completed April 2, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d993404819089c9a71d03721e0b completed April 5, 2026, 10:46 a.m.
Created at: March 30, 2026, 8:47 p.m.