Triple

T19498314
Position Surface form Disambiguated ID Type / Status
Subject Cibao E487831 entity
Predicate containsProvince P11085 FINISHED
Object La Vega Province 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: La Vega Province | Statement: [Cibao, containsProvince, La Vega Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Vega Province
Context triple: [Cibao, containsProvince, La Vega Province]
  • A. La Vega Province chosen
    La Vega Province is a central Dominican Republic province known for its fertile valleys, agricultural production, and the vibrant Carnival of La Vega.
  • B. Velasco Province
    Velasco Province is an administrative province in eastern Bolivia, located within the Santa Cruz Department and known for its vast lowland landscapes and rural communities.
  • C. Camacho Province
    Camacho Province is an administrative subdivision in western Bolivia known for its location within the high Andean region of the La Paz Department.
  • D. Los Santos Province
    Los Santos Province is a largely rural region in southern Panama known for its agricultural production, folkloric traditions, and Pacific coastline.
  • E. Ricaurte Province
    Ricaurte Province is an administrative subdivision of the Boyacá Department in Colombia, known for its small towns with colonial heritage and traditional crafts.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63493232881909fc33fb84da3e1b5 completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:40 p.m.