Triple

T8380087
Position Surface form Disambiguated ID Type / Status
Subject Project Sourceberg E197665 entity
Predicate inspiredBy P9 FINISHED
Object Project Gutenberg E75572 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: Project Gutenberg | Statement: [Project Sourceberg, inspiredBy, Project Gutenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Project Gutenberg
Context triple: [Project Sourceberg, inspiredBy, Project Gutenberg]
  • A. Project Gutenberg chosen
    Project Gutenberg is a pioneering digital library that offers free access to thousands of public-domain ebooks in multiple formats.
  • B. Project Gutenberg Canada
    Project Gutenberg Canada is a volunteer-driven digital library that provides free access to public domain books, with a focus on works significant to Canadian culture and history.
  • C. Wikisource
    Wikisource is a free online digital library of public domain and freely licensed texts that anyone can read and help transcribe.
  • D. Open Library project
    The Open Library project is an online initiative to create a comprehensive, publicly accessible catalog of every book ever published, offering digital borrowing and reading where possible.
  • E. Distributed Proofreaders
    Distributed Proofreaders is an online volunteer-based project that converts public domain books into high-quality eBooks, primarily for inclusion in Project Gutenberg’s digital library.
  • 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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80c57080819097eef2b7e46eaaee completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde803ac088190ae185ef444c9c7b9 completed April 2, 2026, 3:52 a.m.
Created at: March 30, 2026, 6:02 p.m.