Triple

T20689734
Position Surface form Disambiguated ID Type / Status
Subject Tambo River E508516 entity
Predicate countrySubdivision P766 FINISHED
Object Department of Ayacucho NE NERFINISHED

How this triple was built (3 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: Department of Ayacucho | Statement: [Tambo River, countrySubdivision, Department of Ayacucho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Ayacucho
Context triple: [Tambo River, countrySubdivision, Department of Ayacucho]
  • A. Department of Nariño
    The Department of Nariño is an administrative region in southwestern Colombia known for its Andean landscapes, Pacific coastline, and capital city, Pasto.
  • B. Department of Lima
    The Department of Lima is an administrative region on Peru’s central Pacific coast that includes the nation’s capital city and serves as its political, economic, and cultural hub.
  • C. Department of Potosí
    The Department of Potosí is an administrative region in southwestern Bolivia, historically renowned for its rich mineral resources and the colonial silver mines of the city of Potosí.
  • D. Department of Junín
    The Department of Junín is an administrative region in central Peru known for its Andean highlands, agricultural production, and historical significance in the country’s independence.
  • E. Department of Quindío
    The Department of Quindío is a small, coffee-producing administrative region in west-central Colombia, known for its lush Andean landscapes and role in the country's Coffee Cultural Landscape.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Ayacucho
Target entity description: The Department of Ayacucho is a region in the southern highlands of Peru known for its colonial architecture, rich Andean cultural traditions, and historical significance in the country’s independence.
  • A. Department of Nariño
    The Department of Nariño is an administrative region in southwestern Colombia known for its Andean landscapes, Pacific coastline, and capital city, Pasto.
  • B. Department of Lima
    The Department of Lima is an administrative region on Peru’s central Pacific coast that includes the nation’s capital city and serves as its political, economic, and cultural hub.
  • C. Department of Potosí
    The Department of Potosí is an administrative region in southwestern Bolivia, historically renowned for its rich mineral resources and the colonial silver mines of the city of Potosí.
  • D. Department of Junín
    The Department of Junín is an administrative region in central Peru known for its Andean highlands, agricultural production, and historical significance in the country’s independence.
  • E. Department of Quindío
    The Department of Quindío is a small, coffee-producing administrative region in west-central Colombia, known for its lush Andean landscapes and role in the country's Coffee Cultural Landscape.
  • F. None of above. chosen

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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c10cb5588190acb88f2c82fc593a completed April 21, 2026, 12:13 a.m.
Created at: April 16, 2026, 12:05 p.m.