Triple

T2731604
Position Surface form Disambiguated ID Type / Status
Subject Realm of the Four Parts E60326 entity
Predicate conceptualStructure P531 FINISHED
Object division of imperial territory into four quarters 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: division of imperial territory into four quarters | Statement: [Realm of the Four Parts, conceptualStructure, division of imperial territory into four quarters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: conceptualStructure
Context triple: [Realm of the Four Parts, conceptualStructure, division of imperial territory into four quarters]
  • A. conceptualRole
    Indicates the functional or semantic role that one concept plays in relation to another within a conceptual structure or system.
  • B. architecturalConcept
    Indicates that one entity represents or embodies an architectural concept in relation to another entity.
  • C. hasConcept chosen
    Indicates that an entity includes, embodies, or is associated with a particular concept.
  • D. internalStructure
    Indicates that one entity is a component, part, or substructure contained within the overall structure of another entity.
  • E. rootStructure
    Indicates that one entity serves as the primary or foundational structural element upon which another entity is based or organized.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaee29088190bc4c734e48995794 completed March 7, 2026, 7:59 a.m.
PD Predicate disambiguation batch_69abd82859348190bce3be8f2e9d60ba completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:56 p.m.