Triple

T17644537
Position Surface form Disambiguated ID Type / Status
Subject La Molina District E429321 entity
Predicate borderedBy P224 FINISHED
Object San Luis 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: San Luis District | Statement: [La Molina District, borderedBy, San Luis District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Luis District
Context triple: [La Molina District, borderedBy, San Luis District]
  • A. San Luis District chosen
    San Luis District is an urban district within the Lima metropolitan area of Peru, known for its residential neighborhoods and local commercial activity.
  • B. San Miguelito District
    San Miguelito District is a densely populated urban district in central Panama that forms part of the metropolitan area of Panama City.
  • C. San Pedro District
    San Pedro District is an administrative subdivision located within Canchis Province in the Cusco Region of Peru, known for its Andean highland communities and traditional agriculture.
  • D. San Miguel District
    San Miguel District is a coastal urban district of Lima, Peru, known for its residential areas, shopping centers, and views of the Pacific Ocean.
  • E. El Carmen District
    El Carmen District is an administrative subdivision in Peru’s Chincha Province, known for its strong Afro-Peruvian cultural heritage and traditions.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de7da4881908d67f447910dba2f completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 6:04 a.m.