Triple

T21533212
Position Surface form Disambiguated ID Type / Status
Subject Eastern Paraguay E531285 entity
Predicate contains P35 FINISHED
Object Caazapá Department 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: Caazapá Department | Statement: [Eastern Paraguay, contains, Caazapá Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caazapá Department
Context triple: [Eastern Paraguay, contains, Caazapá Department]
  • A. Caazapá Department chosen
    Caazapá Department is an administrative region in southern Paraguay known for its rural landscapes, agricultural economy, and location along important rivers such as the Tebicuary.
  • B. Pando Department
    Pando Department is a sparsely populated, rainforest-covered region in northern Bolivia known for its Amazonian biodiversity and remote location.
  • C. Zacapa Department
    Zacapa Department is an eastern region of Guatemala known for its hot, dry climate, cattle ranching, and production of the renowned Ron Zacapa rum.
  • D. Oruro Department
    Oruro Department is a high-altitude administrative region in western Bolivia known for its Andean landscapes, mining heritage, and vibrant Carnival of Oruro.
  • E. Sonsonate Department
    Sonsonate Department is a coastal administrative region in western El Salvador known for its coffee-growing highlands, colonial towns, and proximity to the Pacific Ocean.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0ae0e88190a6042effd93cd455 completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.