Triple

T1383853
Position Surface form Disambiguated ID Type / Status
Subject San José E29798 entity
Predicate populationRankInCentralAmerica P25930 FINISHED
Object among largest cities in Central America 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: among largest cities in Central America | Statement: [San José, populationRankInCentralAmerica, among largest cities in Central America]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: populationRankInCentralAmerica
Context triple: [San José, populationRankInCentralAmerica, among largest cities in Central America]
  • A. populationRankInMexico
    Indicates the relative position of an entity in terms of population size compared to other entities within Mexico.
  • B. dischargeRankInNorthAmerica
    Indicates the relative ranking of an entity based on its discharge (e.g., flow or output) compared to others within North America.
  • C. hasPopulationRankInRegion chosen
    Indicates that an entity has a specific population-based rank or position within a defined geographic region.
  • D. hasPopulationRank
    Indicates the relative position of an entity in an ordered list based on the size of its population.
  • E. hasPopulationRankInChile
    Indicates the relative position of an entity in the ordered ranking of populations within Chile.
  • 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c3377b608190b915e6871c1fe86e completed March 1, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69a4befe343c81909f758440a531b5be completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:59 p.m.