Triple

T1745736
Position Surface form Disambiguated ID Type / Status
Subject Wikisource E38331 entity
Predicate name P16 FINISHED
Object Wikisource E38331 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: Wikisource | Statement: [Wikisource, name, Wikisource]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wikisource
Context triple: [Wikisource, name, Wikisource]
  • A. Wikisource chosen
    Wikisource is a free online digital library of public domain and freely licensed texts that anyone can read and help transcribe.
  • B. Wikibooks
    Wikibooks is a Wikimedia Foundation project that hosts collaboratively written, free-content textbooks and instructional guides.
  • C. Wikipedia
    Wikipedia is a free, collaboratively edited online encyclopedia that allows users worldwide to create and modify its articles.
  • D. Project Gutenberg
    Project Gutenberg is a pioneering digital library that offers free access to thousands of public-domain ebooks in multiple formats.
  • E. Encyclopédie
    The Encyclopédie was an influential 18th-century French reference work edited by Denis Diderot and Jean le Rond d’Alembert that sought to compile and disseminate Enlightenment knowledge, science, and philosophy.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63e93f3481909f61d581f7a5bdfa completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1b354b08190a776126555880de5 completed March 8, 2026, 7:44 p.m.
Created at: March 4, 2026, 7:31 p.m.