Triple

T2011792
Position Surface form Disambiguated ID Type / Status
Subject Miguel de Cervantes E43701 entity
Predicate hasPartInBibliography P7332 FINISHED
Object Don Quixote, Part One (1605) E43700 NE FINISHED

How this triple was built (3 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: Don Quixote, Part One (1605) | Statement: [Miguel de Cervantes, hasPartInBibliography, Don Quixote, Part One (1605)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Quixote, Part One (1605)
Context triple: [Miguel de Cervantes, hasPartInBibliography, Don Quixote, Part One (1605)]
  • A. Don Quixote chosen
    Don Quixote is a classic Spanish novel by Miguel de Cervantes that follows the misadventures of an idealistic would-be knight and his squire as they pursue chivalric fantasies in a prosaic world.
  • B. Fuente del Quijote
    Fuente del Quijote is a fountain in Mexico City’s historic Alameda Central park that features imagery inspired by Miguel de Cervantes’ iconic character Don Quixote.
  • C. Lazarillo de Tormes
    Lazarillo de Tormes is a seminal anonymous Spanish novella that inaugurated the picaresque genre by depicting the misadventures of a low-born rogue navigating a corrupt society.
  • D. La Mancha
    La Mancha is a historic, arid region in central Spain best known as the home of Cervantes’ fictional knight-errant Don Quixote.
  • E. La Celestina
    La Celestina is a seminal late 15th-century Spanish tragicomedy, often considered a precursor to the modern novel and a cornerstone of Spanish Renaissance literature.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPartInBibliography
Context triple: [Miguel de Cervantes, hasPartInBibliography, Don Quixote, Part One (1605)]
  • A. partOfAuthorBibliography chosen
    Indicates that a work is included in the set of publications that make up an author's bibliography.
  • B. hasBibliographicCategory
    Indicates that an entity is associated with a specific bibliographic classification or category within a cataloging or documentation system.
  • C. hasCitationForm
    Indicates that an entity is associated with a specific standardized form used for citing or referencing it.
  • D. hasFullCitation
    Indicates that an entity is associated with a complete and properly formatted bibliographic reference.
  • E. hasRelatedPublication
    Indicates that an entity is associated with one or more publications that are relevant or connected to it in content, context, or subject matter.
  • F. None of above.

Provenance (4 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b150a8819096c919465fd91ab5 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5179b3348190bfec5530baf4ca86 completed March 9, 2026, 4:50 a.m.
PD Predicate disambiguation batch_69abb7a03a1c81909ad50d56667db2d5 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:37 p.m.