Triple

T3253583
Position Surface form Disambiguated ID Type / Status
Subject Grand Marshal E68241 entity
Predicate usedByOrganizationType P46881 FINISHED
Object regular Masonic jurisdictions 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: regular Masonic jurisdictions | Statement: [Grand Marshal, usedByOrganizationType, regular Masonic jurisdictions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedByOrganizationType
Context triple: [Grand Marshal, usedByOrganizationType, regular Masonic jurisdictions]
  • A. containsOrganizationType
    Indicates that an entity includes or is associated with an organization of a specified organizational type (e.g., company, nonprofit, government agency).
  • B. usedInOrganization
    Indicates that something (such as a tool, method, or resource) is employed or applied within a particular organization.
  • C. hasTypeOfOrganization
    Indicates that an entity is classified as belonging to a particular type or category of organization.
  • D. organizationType
    Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
  • E. definedByOrganization
    Indicates that something is formally established, specified, or determined by a particular organization.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf640fd8819083c3c0cc41db2ffc completed March 8, 2026, 5:18 p.m.
PD Predicate disambiguation batch_69ada41ae74081909a0d1d696be8e35e completed March 8, 2026, 4:30 p.m.
PDg Predicate description generation batch_69ada525bb2c8190b773efe6d696b6ab completed March 8, 2026, 4:34 p.m.
Created at: March 8, 2026, 3:09 p.m.