Triple

T1197514
Position Surface form Disambiguated ID Type / Status
Subject Around the World in Five Chapters E25701 entity
Predicate organizesContentBy P4786 FINISHED
Object geographic region 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: geographic region | Statement: [Around the World in Five Chapters, organizesContentBy, geographic region]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: organizesContentBy
Context triple: [Around the World in Five Chapters, organizesContentBy, geographic region]
  • A. organizesInto
    Indicates that one entity arranges, structures, or groups another entity into a particular order, system, or set of categories.
  • B. organizedAs chosen
    Indicates how elements are structured, arranged, or grouped according to a particular organizing principle or scheme.
  • C. organizes
    Indicates that one entity arranges, coordinates, or structures activities, items, or people into an ordered or planned form for a particular purpose.
  • D. reorganized
    Indicates that an entity has changed the structure, order, or arrangement of another entity or set of entities from a previous configuration.
  • E. reorganizedIn
    Indicates that an entity underwent a structural or organizational change within a specified context, time, or framework.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd9a305c819091513394f1b67784 completed March 1, 2026, 10:28 p.m.
PD Predicate disambiguation batch_69a4bb5d40a08190b7682d8ef8075421 completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:46 p.m.