Triple

T834584
Position Surface form Disambiguated ID Type / Status
Subject News of a Kidnapping E18041 entity
Predicate nonFictionSubject P7040 FINISHED
Object political violence LITERAL 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: political violence | Statement: [News of a Kidnapping, nonFictionSubject, political violence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nonFictionSubject
Context triple: [News of a Kidnapping, nonFictionSubject, political violence]
  • A. isNonFictionCategory
    Indicates that a given category pertains to non-fiction works, such as factual or informational content rather than fictional material.
  • B. subjectMatter
    Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
  • C. subjectOfWork chosen
    Indicates that one entity is the main topic, focus, or theme that a particular work (such as a book, article, or artwork) is about.
  • D. book
    Indicates that an agent reserves or schedules a service, event, or resource for future use.
  • E. primaryTopicOf
    Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
  • 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abccb94881909cd49aa3fd986b4a completed March 1, 2026, 9:12 p.m.
PD Predicate disambiguation batch_69a4aa7c7df881909c539c3ab8ff0367 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:38 p.m.