Triple

T723500
Position Surface form Disambiguated ID Type / Status
Subject Basilica and Convent of San Francisco E14669 entity
Predicate locatedIn P40 FINISHED
Object Lima Province E55697 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: Lima Province | Statement: [Basilica and Convent of San Francisco, locatedIn, Lima Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lima Province
Context triple: [Basilica and Convent of San Francisco, locatedIn, Lima Province]
  • A. Lima Province chosen
    Lima Province is the coastal Peruvian province that contains the nation’s capital city, Lima, serving as the country’s main political, economic, and cultural hub.
  • B. Lima Region
    Lima Region is an administrative region on the central coast of Peru that surrounds but does not include the country’s capital city, Lima.
  • C. Ica Region
    The Ica Region is a coastal department in southern Peru known for its desert landscapes, vineyards, and archaeological sites including the Nazca Lines.
  • D. Huánuco Region
    Huánuco Region is an inland administrative region of central Peru known for its Andean landscapes, rich pre-Columbian history, and agricultural production.
  • E. Loreto Region of Peru
    The Loreto Region of Peru is a vast, sparsely populated area in the northern Amazon rainforest known for its rich indigenous cultures, extensive river systems, and biodiverse jungle environment.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a5360c8190b16e1e4f4206d0aa completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a79280fa5c819098397cc1b5c626c0 completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:37 p.m.