Triple

T8966792
Position Surface form Disambiguated ID Type / Status
Subject Palermo (Huila) E214155 entity
Predicate subdivisionNameCountry P85169 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: [Palermo (Huila), subdivisionNameCountry, Colombia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colombia
Context triple: [Palermo (Huila), subdivisionNameCountry, 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. Colombia
    Colombia is a station on Madrid's Metro network, serving Line 8 and acting as an important interchange point in the city's public transportation system.
  • C. Chinchiná
    Chinchiná is a Colombian town and municipality known for its coffee production and location in the central Andean region.
  • D. 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.
  • E. 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.
  • 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: subdivisionNameCountry
Context triple: [Palermo (Huila), subdivisionNameCountry, Colombia]
  • A. subdivisionCountryName chosen
    Indicates the name of the country to which a given subdivision (such as a state, province, or region) belongs.
  • B. subdivisionISOName
    Indicates the standardized ISO-recognized name assigned to a specific administrative subdivision within a country.
  • C. provincialSubdivisionName
    Indicates the name assigned to a first-level administrative or provincial subdivision within a larger territorial or political entity.
  • D. subdivisionNameLanguage
    Indicates the language in which the name of a subdivision (such as a region, district, or administrative unit) is expressed.
  • E. subdivisionName0
    Indicates the name assigned to the first (primary) subdivision or sub-unit 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc676389948190aa78fdf6a5ae74a5 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0a753f8819084b952f20997c8d6 completed April 3, 2026, 2:37 p.m.
PD Predicate disambiguation batch_69cc5ed9a2d48190ad11381078e823b7 completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:01 p.m.