Triple

T27264135
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Medellín E687848 entity
Predicate governsPopulationRankInCountry P25930 FINISHED
Object second-largest city in Colombia LITERAL 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: second-largest city in Colombia | Statement: [Municipality of Medellín, governsPopulationRankInCountry, second-largest city in Colombia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governsPopulationRankInCountry
Context triple: [Municipality of Medellín, governsPopulationRankInCountry, second-largest city in Colombia]
  • A. governsPopulationRank
    Indicates that one entity determines or regulates the hierarchical ranking or ordering of a population of entities.
  • B. hasPopulationRank
    Indicates the relative position of an entity in an ordered list based on the size of its population.
  • C. hasPopulationRankInRegion chosen
    Indicates that an entity has a specific population-based rank or position within a defined geographic region.
  • D. populationCountryRankContext
    Indicates the relative ranking of a country's population within a specified contextual scope (such as region, time period, or grouping).
  • E. populationRank
    Indicates the relative position of an entity in an ordered list based on the size of its population.
  • F. None of above.

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_69ef3557abc481908bf3c146f0f3356a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69fd8ccbd4c88190b13aae0673b3c821 completed May 8, 2026, 7:12 a.m.
PD Predicate disambiguation batch_69fd8ae2227c819089546f5c3629799e completed May 8, 2026, 7:04 a.m.
Created at: April 27, 2026, 10:54 a.m.