Triple

T18328089
Position Surface form Disambiguated ID Type / Status
Subject La Rambla San Borja E439064 entity
Predicate district P2709 FINISHED
Object San Borja 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 Borja | Statement: [La Rambla San Borja, district, San Borja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Borja
Context triple: [La Rambla San Borja, district, San Borja]
  • A. San Borja chosen
    San Borja is a primarily residential and commercial district in Lima, Peru, known for its middle- to upper-class neighborhoods, green areas, and cultural institutions.
  • B. San Borja
    San Borja is a town in Bolivia’s Beni Department, known as a regional center in the country’s northern lowlands.
  • C. San Miguel de Lillo
    San Miguel de Lillo is a 9th-century pre-Romanesque church near Oviedo in Asturias, Spain, renowned for its distinctive Asturian architecture and UNESCO World Heritage status.
  • D. San Guillermo
    San Guillermo is a coastal barangay in the municipality of San Felipe in the province of Zambales, Philippines.
  • E. San Antonio Palopó
    San Antonio Palopó is a traditional Kaqchikel Maya town in Guatemala known for its steep lakeside setting, distinctive local textiles, and panoramic views over Lake Atitlán.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aac14488190840b9c22209f13d1 completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.