Triple

T13837617
Position Surface form Disambiguated ID Type / Status
Subject Cemetery of the city of Chaux (project) E332570 entity
Predicate intendedSymbolism P129 FINISHED
Object moral regeneration through architecture 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: moral regeneration through architecture | Statement: [Cemetery of the city of Chaux (project), intendedSymbolism, moral regeneration through architecture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: intendedSymbolism
Context triple: [Cemetery of the city of Chaux (project), intendedSymbolism, moral regeneration through architecture]
  • A. symbolismIn
    Indicates that one entity functions as a symbol or representation within the context, meaning, or interpretive framework of another entity.
  • B. incorporatesSymbolismFrom
    Indicates that one entity includes or integrates symbolic elements, motifs, or meanings derived from another entity.
  • C. symbolizes chosen
    Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
  • D. shapeSymbolism
    Indicates how a particular shape is associated with or conveys symbolic meaning within a given context.
  • E. emblemSymbolism
    Indicates that one entity serves as an emblem whose design or features symbolically represent or convey meanings about another entity.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ac6b7c81908d44632d6d628339 completed April 14, 2026, 9:02 a.m.
PD Predicate disambiguation batch_69dbc86668e08190ba9135d1c3f38d35 completed April 12, 2026, 4:29 p.m.
Created at: April 9, 2026, 10:13 p.m.