Triple

T22939315
Position Surface form Disambiguated ID Type / Status
Subject Lima District E569675 entity
Predicate borders P224 FINISHED
Object Breña District 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: Breña District | Statement: [Lima District, borders, Breña District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Breña District
Context triple: [Lima District, borders, Breña District]
  • A. Breña district chosen
    Breña district is a densely populated urban district of Lima, Peru, known for its central location, mixed residential and commercial areas, and proximity to the historic city center.
  • B. Cabanillas District
    Cabanillas District is an administrative district in southern Peru, located within the high Andean region of the Puno Department.
  • C. Cieneguilla District
    Cieneguilla District is a semi-rural district in the eastern part of Lima Province, Peru, known for its natural landscapes, country houses, and recreational tourism.
  • D. San Borja District
    San Borja District is a primarily residential and commercial district in the city of Lima, Peru, known for its planned urban layout, green areas, and cultural institutions.
  • E. Huachis District
    Huachis District is an administrative district located within the Andean Huari Province in the Ancash Region of Peru.
  • 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181378660819083239986c846ec17 completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:45 p.m.