Triple

T17480822
Position Surface form Disambiguated ID Type / Status
Subject Maldonado Department E425652 entity
Predicate hasResortArea P10436 FINISHED
Object José Ignacio 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: José Ignacio | Statement: [Maldonado Department, hasResortArea, José Ignacio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: José Ignacio
Context triple: [Maldonado Department, hasResortArea, José Ignacio]
  • A. José Ignacio chosen
    José Ignacio is a small, upscale beach village in Uruguay known for its laid-back atmosphere, luxury retreats, and scenic Atlantic coastline.
  • B. Juan Ignacio
    Juan Ignacio is the given name of Juan Ignacio Molina, an 18th-century Chilean Jesuit priest, naturalist, and historian known for his influential works on the natural and civil history of Chile.
  • C. José Francisco
    José Francisco is the given name of José Francisco Morazán Quezada, a prominent 19th-century Central American statesman and liberal reformer who served as president of the Federal Republic of Central America.
  • D. Eduardo Luis
    Eduardo Luis is an actor known for playing the character Trash.
  • E. José Miguel
    José Miguel is a Spanish-language masculine given name commonly used across various Hispanic cultures.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bfd75481908c20bc2c1cbff593 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.