Triple

T12751678
Position Surface form Disambiguated ID Type / Status
Subject Peñalolén E304749 entity
Predicate borderedBy P224 FINISHED
Object San José de Maipo E187245 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: San José de Maipo | Statement: [Peñalolén, borderedBy, San José de Maipo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San José de Maipo
Context triple: [Peñalolén, borderedBy, San José de Maipo]
  • A. San José de Maipo chosen
    San José de Maipo is a mountainous commune and town in central Chile known as a gateway to the Cajón del Maipo canyon and the Andes for outdoor and ecotourism activities.
  • B. La Calera
    La Calera is a Chilean city and municipality in the Valparaíso Region known for its cement industry and role as a commercial and transport hub in the interior of the region.
  • C. La Calera
    La Calera is a Colombian town and municipality in the Andean department of Cundinamarca, known for its mountainous landscapes and proximity to Bogotá.
  • D. La Calera
    La Calera is a traditional hillside village in the municipality of Valle Gran Rey on the Canary Island of La Gomera, known for its terraced houses and scenic ocean views.
  • E. La Serena
    La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd9555081908b0d027bc332b468 completed April 10, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684ee2ab4819099194d115d2e5a15 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:27 p.m.