Triple

T1364438
Position Surface form Disambiguated ID Type / Status
Subject Tales of a Wayside Inn E29169 entity
Predicate hasDigitalVersion P4156 FINISHED
Object Project Gutenberg edition 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 edition | Statement: [Tales of a Wayside Inn, hasDigitalVersion, Project Gutenberg edition]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Project Gutenberg edition
Context triple: [Tales of a Wayside Inn, hasDigitalVersion, Project Gutenberg edition]
  • 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. Wikisource
    Wikisource is a free online digital library of public domain and freely licensed texts that anyone can read and help transcribe.
  • C. KPUB
    KPUB is the ICAO airport code for Pueblo Memorial Airport, a public airport serving Pueblo, Colorado, in the United States.
  • 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. Gutenberg
    Gutenberg is the block-based content editor introduced in WordPress to enable more flexible, visual page and post creation.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2b725248190bdfdc0031ddc477f completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce7604908190a3754a20bdcb6266 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:57 p.m.