Triple

T12373278
Position Surface form Disambiguated ID Type / Status
Subject Piura E295055 entity
Predicate hasCathedral P916 FINISHED
Object Piura Cathedral E421533 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: Piura Cathedral | Statement: [Piura, hasCathedral, Piura Cathedral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piura Cathedral
Context triple: [Piura, hasCathedral, Piura Cathedral]
  • A. Cathedral of Piura chosen
    The Cathedral of Piura is a prominent Roman Catholic cathedral in the city of Piura, Peru, known for its colonial-era architecture and central role in the region’s religious life.
  • B. La Serena Cathedral
    La Serena Cathedral is a prominent Roman Catholic church and architectural landmark located in the historic center of La Serena, Chile.
  • C. Lima Cathedral
    Lima Cathedral is the principal Roman Catholic church of Lima, Peru, renowned for its colonial architecture and its prominent location on the city’s main square.
  • D. Trujillo Cathedral
    Trujillo Cathedral is a historic Roman Catholic church and prominent architectural landmark located in the main square of Trujillo, Peru.
  • E. Punta Arenas Cathedral
    Punta Arenas Cathedral is a prominent Roman Catholic church and historic landmark located in the city center of Punta Arenas, Chile.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa8ca7c8190b3f8e9c2ec23e837 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63473efd481909b2061f3b19e1aaf completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.