Triple

T19996300
Position Surface form Disambiguated ID Type / Status
Subject Campo de Carabobo monument E494200 entity
Predicate hasView P854 FINISHED
Object Carabobo plains 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: Carabobo plains | Statement: [Campo de Carabobo monument, hasView, Carabobo plains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carabobo plains
Context triple: [Campo de Carabobo monument, hasView, Carabobo plains]
  • A. Cuban plains
    The Cuban plains are broad, low-lying fertile regions of Cuba characterized by extensive agriculture and relatively flat terrain.
  • B. Carabobo chosen
    Carabobo is a state in north-central Venezuela known for its industrial city of Valencia and its historical role in the country’s independence.
  • C. Carabobo
    Carabobo is a station on Buenos Aires’ historic Line A subway, serving the Flores neighborhood in Argentina’s capital.
  • D. Sabana Grande
    Sabana Grande is a small municipality in southwestern Puerto Rico known for its rural character and location along major island transportation routes.
  • E. Cap-Haïtien plain
    The Cap-Haïtien plain is a fertile coastal lowland region in northern Haiti, known for its agricultural importance and proximity to the historic city of Cap-Haïtien.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe3fb288190a935c334e8a5d54e completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:32 p.m.