Triple

T6662407
Position Surface form Disambiguated ID Type / Status
Subject Ciudad del Este E151507 entity
Predicate region P40 FINISHED
Object Paraná Plateau E100317 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: Paraná Plateau | Statement: [Ciudad del Este, region, Paraná Plateau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paraná Plateau
Context triple: [Ciudad del Este, region, Paraná Plateau]
  • A. Brazilian Highlands chosen
    The Brazilian Highlands are an extensive plateau region covering much of eastern, southern, and central Brazil, known for their diverse landscapes, rich biodiversity, and major role in the country’s climate and river systems.
  • B. Meseta Central
    Meseta Central is a vast highland plateau in central Spain that forms the core of the Iberian Peninsula’s interior landscape.
  • C. Carso Plateau
    The Carso Plateau is a rocky limestone region spanning northeastern Italy and southwestern Slovenia, known for its harsh terrain and as a major battleground during World War I.
  • D. Isabela plains
    Isabela plains is a broad, fertile lowland area in the Philippine province of Isabela, known as one of the country’s major agricultural regions.
  • E. Meseta Central matorral
    Meseta Central matorral is a semi-arid shrubland ecoregion on Mexico’s central plateau, characterized by drought-adapted vegetation and high biodiversity.
  • 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_69c687f5fac48190a09e4838d9c6b45d completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b097e0e481909251443f9ce0b85a completed March 27, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef0a0c208190ac6a309bfb2e4e4b completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:02 p.m.