Triple

T3583628
Position Surface form Disambiguated ID Type / Status
Subject CO E75857 entity
Predicate countryNameSpanish P12773 FINISHED
Object Colombia E12035 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: Colombia | Statement: [CO, countryNameSpanish, Colombia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colombia
Context triple: [CO, countryNameSpanish, Colombia]
  • A. Colombia chosen
    Colombia is a transcontinental country in northern South America, known for its diverse landscapes from Andes mountains to Amazon rainforest, rich cultural heritage, and major cities like Bogotá and Medellín.
  • B. Chinchiná
    Chinchiná is a Colombian town and municipality known for its coffee production and location in the central Andean region.
  • C. Ecuador
    Ecuador is a South American country on the Pacific coast, known for its diverse geography that includes part of the Amazon rainforest, the Andean highlands, and the Galápagos Islands.
  • D. Venezuela
    Venezuela is a South American country known for its vast oil reserves, diverse landscapes ranging from Caribbean coastlines to Andean mountains and Amazon rainforest, and its Spanish-speaking population.
  • E. Peru
    Peru is a South American country known for its rich Inca heritage, diverse landscapes from Andes mountains to Amazon rainforest, and the iconic archaeological site of Machu Picchu.
  • 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: countryNameSpanish
Context triple: [CO, countryNameSpanish, Colombia]
  • A. countryNameInEnglish
    Indicates the English-language name assigned to a given country.
  • B. officialNameInSpanish
    Indicates the officially recognized name of an entity when expressed in the Spanish language.
  • C. hasNameInSpanish chosen
    Indicates that an entity is associated with a specific name expressed in the Spanish language.
  • D. countryNameLocal
    Indicates the name of a country as expressed in its own local or official language.
  • E. countryLabel
    Indicates the name or label of the country associated with an entity.
  • F. None of above.

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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc104846c81908b6fbde7061464b4 completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4882803e481908bc716c8beda3c73 completed March 13, 2026, 9:56 p.m.
PD Predicate disambiguation batch_69adb83810c481909c645c08b978edc1 completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:21 p.m.