Triple

T5945170
Position Surface form Disambiguated ID Type / Status
Subject Universidad de la República (Uruguay) E132261 entity
Predicate hasCampusIn P4623 FINISHED
Object Paysandú E189398 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: Paysandú | Statement: [Universidad de la República (Uruguay), hasCampusIn, Paysandú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paysandú
Context triple: [Universidad de la República (Uruguay), hasCampusIn, Paysandú]
  • A. Paysandú chosen
    Paysandú is a major city in western Uruguay known as an important industrial and port center near the Argentine border.
  • B. Ciudad del Este
    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.
  • C. Ijuí
    Ijuí is a city in the state of Rio Grande do Sul, Brazil, known for its strong German-Brazilian cultural heritage and diverse immigrant influences.
  • D. Cumaná
    Cumaná is a historic coastal city in northeastern Venezuela, recognized as one of the oldest continuously inhabited European-founded settlements in the Americas.
  • E. Corrientes
    Corrientes is a northeastern Argentine city and provincial capital known for its location on the Paraná River, colonial architecture, and vibrant chamamé music and carnival traditions.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0393a10448190b0960f4487e87448 completed March 22, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c084fce481909c306d6eeb99066d completed March 23, 2026, 4:24 a.m.
Created at: March 22, 2026, 4:01 p.m.