Triple

T22779959
Position Surface form Disambiguated ID Type / Status
Subject Zona da Mata Paraibana E563807 entity
Predicate contains P35 FINISHED
Object Guarabira 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: Guarabira | Statement: [Zona da Mata Paraibana, contains, Guarabira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guarabira
Context triple: [Zona da Mata Paraibana, contains, Guarabira]
  • A. Guarabira chosen
    Guarabira is a municipality in the state of Paraíba, Brazil, known as a regional commercial and cultural center in the Brejo Paraibano area.
  • B. Yopal
    Yopal is a city in eastern Colombia that serves as the main urban and economic center of the Llanos (plains) region in the Casanare Department.
  • C. Cañar
    Cañar is a city in Ecuador known for its rich indigenous Cañari heritage and nearby Inca archaeological site of Ingapirca.
  • D. San Juan del Cesar
    San Juan del Cesar is a municipality and town in northeastern Colombia known for its agricultural activities and cultural traditions within the La Guajira Department.
  • E. Buen Pasto
    Buen Pasto is a small rural settlement located in the Río Senguer Department of Chubut Province in southern Argentina.
  • 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b63d348819085668e3d9ac78ffa completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:28 p.m.