Triple

T3619533
Position Surface form Disambiguated ID Type / Status
Subject De Opificio Dei E76687 entity
Predicate workStructure P50478 FINISHED
Object single treatise 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: single treatise | Statement: [De Opificio Dei, workStructure, single treatise]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: workStructure
Context triple: [De Opificio Dei, workStructure, single treatise]
  • A. officeHierarchy
    Indicates a reporting or supervisory relationship between positions within an office, defining who is above or below whom in the organizational chain of command.
  • B. workModel
    Indicates that one entity serves as, or is based on, a particular model used for work, operation, or functional behavior.
  • C. corporateStructure
    Indicates how entities are organized, controlled, and related within a corporate hierarchy or ownership structure.
  • D. divisionOrStructure
    Indicates a relationship where one entity is an internal division, department, or structural subunit that is organizationally contained within another entity.
  • E. hasOrganizationalStructure
    Indicates that an entity possesses a defined internal arrangement of roles, responsibilities, and relationships that determine how it is organized and operates.
  • F. None of above. chosen

Provenance (4 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2b85f6c819091000e231d9dac87 completed March 8, 2026, 6:40 p.m.
PD Predicate disambiguation batch_69adb83f1e4c8190ab501c1c05b14c08 completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adb9bbb62c8190989629ca11733e1b completed March 8, 2026, 6:02 p.m.
Created at: March 8, 2026, 3:23 p.m.