Triple

T7574332
Position Surface form Disambiguated ID Type / Status
Subject EndNote E179323 entity
Predicate hasComponent P35 FINISHED
Object EndNote desktop E179323 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: EndNote desktop | Statement: [EndNote, hasComponent, EndNote desktop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EndNote desktop
Context triple: [EndNote, hasComponent, EndNote desktop]
  • A. EndNote chosen
    EndNote is a reference management software tool used by researchers and students to organize bibliographies, manage citations, and streamline the writing and publishing process.
  • B. RefWorks
    RefWorks is a web-based reference management tool that helps researchers collect, organize, and format citations and bibliographies in various academic styles.
  • C. BibTeX
    BibTeX is a tool and file format used with LaTeX to manage and format bibliographic references in scholarly documents.
  • D. Evernote
    Evernote is a cross-platform note-taking and organization application that lets users capture, sync, and manage text, images, and other content across devices.
  • E. WinEdt
    WinEdt is a powerful, customizable text editor for Windows widely used as a front-end for creating and managing LaTeX documents.
  • 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_69c69f316e50819081a271c85c06f918 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f948e1e08190ad807292365a0c27 completed March 27, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856ea9a2c8190a81762ac509c4c97 completed March 28, 2026, 10:32 p.m.
Created at: March 27, 2026, 3:51 p.m.