Triple

T26052928
Position Surface form Disambiguated ID Type / Status
Subject Cathedral of Commerce E648033 entity
Predicate associatedWithEconomicTheme P2313 FINISHED
Object consumer culture 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: consumer culture | Statement: [Cathedral of Commerce, associatedWithEconomicTheme, consumer culture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithEconomicTheme
Context triple: [Cathedral of Commerce, associatedWithEconomicTheme, consumer culture]
  • A. associatedWithEconomicSector
    Indicates that an entity has a connection or involvement with a particular economic sector, such as operating, participating, or being relevant within that sector.
  • B. economyOfTopic
    Indicates that there is an economic system, structure, or set of economic conditions specifically associated with the given topic.
  • C. economicAspect chosen
    Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
  • D. hasEconomicFocus
    Indicates that an entity is primarily concerned with, oriented toward, or specializing in economic matters, activities, or impacts.
  • E. hasEconomicDimension
    Indicates that something involves, affects, or is characterized by economic factors, considerations, or consequences.
  • 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_69e77e8d419481908004e6318d28aaab completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69fe8ddf70e48190a917eb9e8f7b6966 completed May 9, 2026, 1:29 a.m.
PD Predicate disambiguation batch_69fe87ef94dc81909bb00ec8d6de9bcd completed May 9, 2026, 1:03 a.m.
Created at: April 22, 2026, 9:11 a.m.