Triple

T25703929
Position Surface form Disambiguated ID Type / Status
Subject Brobdingnag E644535 entity
Predicate relatedWorkSection P142982 FINISHED
Object A Voyage to Brobdingnag NE NERFINISHED

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: A Voyage to Brobdingnag | Statement: [Brobdingnag, relatedWorkSection, A Voyage to Brobdingnag]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relatedWorkSection
Context triple: [Brobdingnag, relatedWorkSection, A Voyage to Brobdingnag]
  • A. relatedWorkForm
    Indicates a relationship in which one work is connected to another through a different form or version (e.g., adaptation, translation, or other format variation).
  • B. relatedWorkBySubject
    Indicates a relationship where one work is connected to another through sharing the same subject or topic.
  • C. associatedWorkSection chosen
    Indicates that one work or resource is related to a specific section or part of another work.
  • D. relatedWorkStructure
    Indicates that one work has a structural or organizational relationship to another work, such as being a part, version, adaptation, or otherwise structurally derived or connected.
  • E. relatedWorkField
    Indicates that one work is associated with or pertains to the same or a relevant field, discipline, or area of activity as another work.
  • F. None of above.

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_69e77e83c8ec8190bf52fcdac4838984 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69fd2839880c819099a7a89783f2270e completed May 8, 2026, 12:03 a.m.
PD Predicate disambiguation batch_69fd23dc5da48190ae8ba08947d34956 completed May 7, 2026, 11:44 p.m.
Created at: April 21, 2026, 9 p.m.