Triple

T14570815
Position Surface form Disambiguated ID Type / Status
Subject Junior Grand Warden E341905 entity
Predicate ceremonialRegalia P80953 FINISHED
Object jewel of office 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: jewel of office | Statement: [Junior Grand Warden, ceremonialRegalia, jewel of office]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ceremonialRegalia
Context triple: [Junior Grand Warden, ceremonialRegalia, jewel of office]
  • A. ceremonialDressFeature
    Indicates that one entity is a characteristic, component, or distinguishing element of another entity’s ceremonial dress or attire.
  • B. ceremonialSymbol chosen
    Indicates that one entity serves as a symbol used in a formal or ritual ceremony for another entity or concept.
  • C. relatedRegalia
    Indicates that there is an association or connection between items of regalia, such as ceremonial garments, insignia, or symbols of office.
  • D. ceremonialAssociation
    Indicates a relationship where entities are linked through participation in, role within, or connection to a formal ceremony or ritual event.
  • E. ceremonialUse
    Indicates that something is used in a ritual, religious, or formal ceremony rather than for ordinary or practical purposes.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f2121481908f2385637944785d completed April 14, 2026, 9:38 p.m.
PD Predicate disambiguation batch_69de5c57489c8190b57917be1dba6ae6 completed April 14, 2026, 3:25 p.m.
Created at: April 10, 2026, 1:23 a.m.