Triple

T31145296
Position Surface form Disambiguated ID Type / Status
Subject Department of Putumayo E793906 entity
Predicate borderColombianDepartment P197878 FINISHED
Object Caquetá 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: Caquetá Department | Statement: [Department of Putumayo, borderColombianDepartment, Caquetá Department]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borderColombianDepartment
Context triple: [Department of Putumayo, borderColombianDepartment, Caquetá Department]
  • A. mainColombianDepartment
    Indicates that one entity is the primary administrative department (region) associated with another entity within Colombia.
  • B. countryStatusInColombia
    Indicates the political or legal status that a country holds within or in relation to Colombia.
  • C. positionInColombia
    Indicates that one entity occupies or is located at a specific position within the geographic boundaries of Colombia.
  • D. geographicDirectionFromDepartmentCapital
    Indicates that one location lies in a specified geographic direction relative to the capital city of a given administrative department.
  • E. capitalOfDepartment
    Indicates that a city or town serves as the administrative capital of a specified department (an administrative division).
  • F. None of above. chosen

Provenance (4 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_69f224d2b3a48190aa9dd26fbf6eab1a completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69feb5e66224819083b87c3707a5a5e0 completed May 9, 2026, 4:19 a.m.
PD Predicate disambiguation batch_69feb3bd700c8190991ed200cd3c04db completed May 9, 2026, 4:10 a.m.
PDg Predicate description generation batch_69feb5e50a7481908d6bff55bd85e06d completed May 9, 2026, 4:19 a.m.
Created at: April 29, 2026, 9:06 p.m.