Triple

T6591599
Position Surface form Disambiguated ID Type / Status
Subject Río Maipo E159372 entity
Predicate nearCity P350 FINISHED
Object Santiago de Chile E2032 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: Santiago de Chile | Statement: [Río Maipo, nearCity, Santiago de Chile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santiago de Chile
Context triple: [Río Maipo, nearCity, Santiago de Chile]
  • A. Santiago
    Santiago was one of the smaller support vessels in Ferdinand Magellan’s early 16th-century expedition to circumnavigate the globe, primarily used for scouting and exploration along the South American coast.
  • B. Santiago
    Santiago is the largest and most populous island of Cape Verde, home to the nation’s capital city, Praia, and its main political and economic activities.
  • C. Santiago chosen
    Santiago is the capital and primary economic, political, and cultural center of Chile, located in the country’s central valley.
  • D. Santiago
    Santiago is the aging Cuban fisherman and stoic protagonist of Ernest Hemingway’s novella *The Old Man and the Sea*, known for his endurance, dignity, and struggle against a giant marlin.
  • E. Santiago
    Santiago is a charismatic bohemian performer and friend of Christian in *Moulin Rouge! The Musical*, contributing comic relief, passion, and artistic flair to the story.
  • 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_69c712841eb4819098057a290520254e completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 1:55 p.m.