Triple

T12240489
Position Surface form Disambiguated ID Type / Status
Subject Bellefontaine Cemetery E291714 entity
Predicate BuschMausoleumStyle P103971 FINISHED
Object Romanesque Revival 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: Romanesque Revival | Statement: [Bellefontaine Cemetery, BuschMausoleumStyle, Romanesque Revival]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: BuschMausoleumStyle
Context triple: [Bellefontaine Cemetery, BuschMausoleumStyle, Romanesque Revival]
  • A. hasMausoleum
    Indicates that one entity possesses, contains, or is associated with a mausoleum dedicated to another entity.
  • B. cemeteryStyle
    Indicates the stylistic or design characteristics that define how a cemetery is arranged or presented.
  • C. hasPartInMausoleum
    Indicates that an entity is a component, section, or element contained within or forming part of a mausoleum.
  • D. majorMortuaryComplex
    Indicates a significant funerary or burial-related architectural complex that serves as a primary site for mortuary activities.
  • E. cemeteryType
    Indicates the specific kind or classification of a cemetery associated with an entity.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d924a3973c8190a882046963b320fb completed April 10, 2026, 4:26 p.m.
PD Predicate disambiguation batch_69d91c41bcbc81909782f4e3c571b218 completed April 10, 2026, 3:50 p.m.
PDg Predicate description generation batch_69d92468052c819090546f36d009a64f completed April 10, 2026, 4:25 p.m.
Created at: April 8, 2026, 9:51 p.m.