Triple

T21343982
Position Surface form Disambiguated ID Type / Status
Subject Maria Amalia of Austria E526277 entity
Predicate residence P75 FINISHED
Object Colorno NE NERFINISHED

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: Colorno | Statement: [Maria Amalia of Austria, residence, Colorno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colorno
Context triple: [Maria Amalia of Austria, residence, Colorno]
  • A. Colorno chosen
    Colorno is a town in the Emilia-Romagna region of northern Italy, historically notable for its grand ducal palace and its past role within the Duchy of Parma and Piacenza.
  • B. Borouge
    Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
  • C. Vermiglio
    Vermiglio is a mountainous municipality in the Trentino region of northern Italy, known for its Alpine landscapes and proximity to major ski and hiking areas.
  • D. Bordo
    Bordo is the popular nickname for FK Sarajevo, a prominent Bosnian football club known for its maroon team colors.
  • E. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8a85274f481909e699b390bed9350 completed April 22, 2026, 10:52 a.m.
Created at: April 16, 2026, 4:44 p.m.