Triple

T6591600
Position Surface form Disambiguated ID Type / Status
Subject Río Maipo E159372 entity
Predicate nearCity P350 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: [Río Maipo, nearCity, San José de Maipo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San José de Maipo
Context triple: [Río Maipo, nearCity, 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 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.
  • E. Concepción
    Concepción was one of the ships in Ferdinand Magellan’s expedition that took part in the first circumnavigation of the globe.
  • 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aece1f848190a11676e072afb002 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eedfe3a88190a1d7fda9ff0dc9bd completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 1:55 p.m.