Triple

T6789847
Position Surface form Disambiguated ID Type / Status
Subject All Apps Plan E155904 entity
Predicate includes P1393 FINISHED
Object InDesign E31319 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: InDesign | Statement: [All Apps Plan, includes, InDesign]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: InDesign
Context triple: [All Apps Plan, includes, InDesign]
  • A. Adobe InDesign chosen
    Adobe InDesign is a professional desktop publishing and page layout application widely used for designing print and digital media such as magazines, books, brochures, and interactive PDFs.
  • B. QuarkXPress
    QuarkXPress is a professional desktop publishing software application widely used for creating complex page layouts for print and digital media.
  • C. Adobe Illustrator
    Adobe Illustrator is a professional vector graphics editing and design software widely used for creating logos, illustrations, and scalable artwork.
  • D. Adobe InDesign Interchange (INX)
    Adobe InDesign Interchange (INX) is an XML-based file format used to represent and exchange Adobe InDesign document content across different versions and workflows.
  • E. Adobe PageMaker
    Adobe PageMaker was one of the first widely used desktop publishing applications, popular in the 1980s and 1990s for creating professional-quality printed documents such as brochures, newsletters, and books.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2ab4ce88190b6311e4d5aac758c completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a8998408190b741417ce6f21f55 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:15 p.m.