Triple

T7909123
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Guaduas E183652 entity
Predicate contains P35 FINISHED
Object Guaduas E35414 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: Guaduas | Statement: [Municipality of Guaduas, contains, Guaduas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guaduas
Context triple: [Municipality of Guaduas, contains, Guaduas]
  • A. Guaduas chosen
    Guaduas is a historic town and municipality in the Cundinamarca Department of Colombia, known for its colonial architecture and role in the country’s independence era.
  • B. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • C. Gualaquiza
    Gualaquiza is a town in southeastern Ecuador known as a local commercial and administrative center within the Amazonian Morona-Santiago Province.
  • D. Zamboanguita
    Zamboanguita is a coastal municipality in the Philippine province of Negros Oriental known for its diving spots and proximity to Apo Island.
  • E. Marmato
    Marmato is a historic Colombian mining town in the Caldas Department, renowned for its centuries-old gold extraction and terraced mountainside setting.
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a5c85ac81908de2ca387826ea2f completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63a63fe0819095778a12bf437cf4 completed April 1, 2026, 12:15 a.m.
Created at: March 30, 2026, 5:03 p.m.