Triple

T14175403
Position Surface form Disambiguated ID Type / Status
Subject Sikuani E351317 entity
Predicate region P40 FINISHED
Object Meta Department E665728 NE FINISHED

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: Meta Department | Statement: [Sikuani, region, Meta Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meta Department
Context triple: [Sikuani, region, Meta Department]
  • A. Meta Department
    Meta Department is an administrative region in central Colombia known for its vast plains (Llanos), agriculture, and oil production.
  • B. Meta Department, Colombia chosen
    Meta Department, Colombia is an inland administrative region in central Colombia known for its vast Llanos plains, cattle ranching, and oil and agricultural production.
  • C. Home Department
    The Home Department was a former British government ministry responsible for domestic affairs, which was later reorganized and succeeded by the Home Office.
  • D. Var department
    Var department is an administrative division in the Provence-Alpes-Côte d'Azur region of southeastern France, known for its Mediterranean coastline, resorts, and historic towns.
  • E. Departamento de Meta
    Departamento de Meta is a large department in central Colombia known for its vast Llanos plains, cattle ranching, and oil production, with Villavicencio as its capital.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b7cc3081909f4fa371e1eae130 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193f85e88190b37a37747ec9d019 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:02 a.m.