Triple

T1884859
Position Surface form Disambiguated ID Type / Status
Subject Florence Cathedral dome E39939 entity
Predicate engineeringInnovation P14232 FINISHED
Object built without full wooden centering 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: built without full wooden centering | Statement: [Florence Cathedral dome, engineeringInnovation, built without full wooden centering]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: engineeringInnovation
Context triple: [Florence Cathedral dome, engineeringInnovation, built without full wooden centering]
  • A. innovation
    Indicates the introduction or development of something new or significantly improved compared to existing methods, products, or ideas.
  • B. innovationArea
    Indicates the thematic or domain-specific field in which an innovation is focused or applied.
  • C. innovationFrom
    Indicates that something originates, arises, or is derived as an innovation from a particular source or prior entity.
  • D. inventionType
    Indicates the specific category or kind of invention that characterizes the relationship between an invention and its type.
  • E. technologyPioneered chosen
    Indicates that an entity was the first or among the first to develop, introduce, or significantly advance a particular technology.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb4f53f408190ae30e1a12721e7d7 completed March 7, 2026, 5:17 a.m.
PD Predicate disambiguation batch_69abafe497a88190a1da6af2888b71b4 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:34 p.m.