Triple

T14607951
Position Surface form Disambiguated ID Type / Status
Subject Greater Concepción metropolitan area E342880 entity
Predicate rankInCountryByPopulation P1026 FINISHED
Object second-largest metropolitan area in Chile 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 metropolitan area in Chile | Statement: [Greater Concepción metropolitan area, rankInCountryByPopulation, second-largest metropolitan area in Chile]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankInCountryByPopulation
Context triple: [Greater Concepción metropolitan area, rankInCountryByPopulation, second-largest metropolitan area in Chile]
  • A. continentRankByPopulation
    Indicates the relative position of a continent in an ordered list based on its population size.
  • B. hasPopulationRank chosen
    Indicates the relative position of an entity in an ordered list based on the size of its population.
  • C. populationRank
    Indicates the relative position of an entity in an ordered list based on the size of its population.
  • D. countryRanking
    Indicates the relative position or rank assigned to a country within a specific ordered list or comparative evaluation.
  • E. hasPopulationRankInRegion
    Indicates that an entity has a specific population-based rank or position within a defined geographic region.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb44d327c8190a8d20568429d0f80 completed April 14, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69de656f9f4c81909f815b6629a9ee39 completed April 14, 2026, 4:03 p.m.
Created at: April 10, 2026, 1:25 a.m.