Triple

T18627778
Position Surface form Disambiguated ID Type / Status
Subject Triple Frontier region E455328 entity
Predicate hasCity P316 FINISHED
Object Ciudad del Este 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: Ciudad del Este | Statement: [Triple Frontier region, hasCity, Ciudad del Este]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ciudad del Este
Context triple: [Triple Frontier region, hasCity, Ciudad del Este]
  • A. Ciudad del Este chosen
    Ciudad del Este is a major commercial city in eastern Paraguay, known as a busy border trading hub near the tri-border area with Brazil and Argentina.
  • B. Yacuiba
    Yacuiba is a city in southern Bolivia near the Argentine border, known as a key commercial and transportation hub in the Gran Chaco region.
  • C. La Asunción
    La Asunción is a historic colonial-era city on Venezuela’s Margarita Island, known for its religious landmarks and role as an administrative and cultural center.
  • D. Paysandú
    Paysandú is a major city in western Uruguay known as an important industrial and port center near the Argentine border.
  • E. Ciudad de Corrientes
    Ciudad de Corrientes is the capital city of the Corrientes Province in northeastern Argentina, known for its colonial architecture and location along the Paraná River.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f063a1c819087e544c64f5cf80f completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.