Triple

T6187720
Position Surface form Disambiguated ID Type / Status
Subject Battle of Chacabuco E138103 entity
Predicate commander P1061 FINISHED
Object Rafael Maroto E172631 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: Rafael Maroto | Statement: [Battle of Chacabuco, commander, Rafael Maroto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rafael Maroto
Context triple: [Battle of Chacabuco, commander, Rafael Maroto]
  • A. Rafael Maroto chosen
    Rafael Maroto was a Spanish general best known for his leading role on the royalist side during the Latin American wars of independence, particularly in Chile.
  • B. Rafael Arenas
    Rafael Arenas is an individual notable enough to be recognized as a prominent bearer of the surname Arenas.
  • C. Rafael Navarro
    Rafael Navarro is a name shared by several notable individuals, including professionals in fields such as science, sports, and the arts.
  • D. Eduardo Arenas
    Eduardo Arenas is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Arenas.
  • E. Fernando García
    Fernando García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06217be288190997032c8c4839fa5 completed March 22, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a5979208190b3bedb6234181245 completed March 28, 2026, 12:01 a.m.
Created at: March 22, 2026, 4:19 p.m.