Triple

T25157735
Position Surface form Disambiguated ID Type / Status
Subject The Story of Mankind E626360 entity
Predicate hasChapterOrganization P125600 FINISHED
Object topical and chronological chapters 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: topical and chronological chapters | Statement: [The Story of Mankind, hasChapterOrganization, topical and chronological chapters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasChapterOrganization
Context triple: [The Story of Mankind, hasChapterOrganization, topical and chronological chapters]
  • A. hasChapterStructure chosen
    Indicates that one entity is organized into chapters or contains a defined chapter-based structure in relation to another entity.
  • B. containsChapter
    Indicates that one entity (typically a larger work or document) includes another entity as a chapter within its structure.
  • C. hasLocalChaptersIn
    Indicates that an organization maintains one or more local chapters or branches within a specified geographic area or location.
  • D. hasGeneralChapter
    Indicates that an entity is associated with, or contains, a general chapter (a broad or overarching section) within a larger structured document or framework.
  • E. hasChapterFromViewpoint
    Indicates that a chapter in a work is narrated or presented from the perspective or viewpoint of a particular entity.
  • 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_69e2ff2834ec8190b0872e2ec3d76023 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f60c3b09488190ade1b69ff7f0df0e completed May 2, 2026, 2:37 p.m.
PD Predicate disambiguation batch_69f60b8461ac81908c5bd3d73eed59f4 completed May 2, 2026, 2:34 p.m.
Created at: April 18, 2026, 6:30 a.m.