Triple

T11437470
Position Surface form Disambiguated ID Type / Status
Subject Awá E271046 entity
Predicate mainColombianDepartment P99296 FINISHED
Object Nariño Department E291662 NE FINISHED

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: Nariño Department | Statement: [Awá, mainColombianDepartment, Nariño Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nariño Department
Context triple: [Awá, mainColombianDepartment, Nariño Department]
  • A. Nariño Department chosen
    Nariño Department is a southwestern Colombian department bordering Ecuador and the Pacific Ocean, known for its Andean landscapes, coffee and agricultural production, and the capital city of Pasto.
  • B. Chocó Department
    Chocó Department is a rainforest-covered region in western Colombia known for its high biodiversity, heavy rainfall, and significant Afro-Colombian and Indigenous Emberá populations.
  • C. Cauca Department
    Cauca Department is an administrative region in southwestern Colombia known for its diverse geography, rich indigenous and Afro-Colombian cultural heritage, and capital city of Popayán.
  • D. Guainía Department
    Guainía Department is a sparsely populated, jungle-covered department in eastern Colombia known for its Amazonian landscapes and indigenous communities along the borders with Venezuela and Brazil.
  • E. Tolima Department
    Tolima Department is an administrative region in central Colombia known for its Andean landscapes, agricultural production, and capital city Ibagué.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainColombianDepartment
Context triple: [Awá, mainColombianDepartment, Nariño Department]
  • A. capitalOfDepartment
    Indicates that a city or town serves as the administrative capital of a specified department (an administrative division).
  • B. geographicDirectionFromDepartmentCapital
    Indicates that one location lies in a specified geographic direction relative to the capital city of a given administrative department.
  • C. positionInColombia
    Indicates that one entity occupies or is located at a specific position within the geographic boundaries of Colombia.
  • D. hasPopulationRankInDepartment
    Indicates the relative position of an entity’s population size compared to other entities within the same department.
  • E. hasDepartmentCapital
    Indicates that a department has a specific city designated as its capital.
  • F. None of above. chosen

Provenance (5 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8088711ec8190afae9f4d9f2a11ca completed April 9, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e624782cf88190b696a1c7c9a56395 completed April 20, 2026, 1:04 p.m.
PD Predicate disambiguation batch_69d7e71436f88190ac7e45a04ea5c987 completed April 9, 2026, 5:51 p.m.
PDg Predicate description generation batch_69d80010712c819089ea2e31e664abe1 completed April 9, 2026, 7:37 p.m.
Created at: April 8, 2026, 9:35 p.m.