Triple

T13284479
Position Surface form Disambiguated ID Type / Status
Subject Cathedral of Burgos E316406 entity
Predicate notableArchitect P138 FINISHED
Object Francisco de Colonia E1030447 NE 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: Francisco de Colonia | Statement: [Cathedral of Burgos, notableArchitect, Francisco de Colonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francisco de Colonia
Context triple: [Cathedral of Burgos, notableArchitect, Francisco de Colonia]
  • A. Juan de Colonia chosen
    Juan de Colonia was a 15th-century architect of German origin who became renowned for his influential Gothic work in Spain, particularly in Burgos.
  • B. Colón
    Colón is a riverside city in Argentina known for its tourism, hot springs, and access to the Uruguay River.
  • C. Colón
    Colón is a Spanish-origin surname commonly found in Hispanic communities and notably borne by figures such as comic book artist Ernie Colón.
  • D. Colón
    Colón is a small municipality located in Colombia's southern Amazonian region within the Putumayo Department.
  • E. Colón
    Colón is a municipality and city in western Cuba known for its agricultural surroundings and colonial-era architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99047531c819087aa6406de1ddc82 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f20d7188190bb8643a7e17aba5c completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:27 p.m.