Triple

T90013
Position Surface form Disambiguated ID Type / Status
Subject St. Louis, Missouri, United States E1809 entity
Predicate metropolitanAreaRankInUS P471 FINISHED
Object top 25 metropolitan areas in the United States 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: top 25 metropolitan areas in the United States | Statement: [St. Louis, Missouri, United States, metropolitanAreaRankInUS, top 25 metropolitan areas in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: metropolitanAreaRankInUS
Context triple: [St. Louis, Missouri, United States, metropolitanAreaRankInUS, top 25 metropolitan areas in the United States]
  • A. areaRankInUS
    Indicates the relative position of an entity in a ranking of areas within the United States, based on its size.
  • B. largestMetropolitanArea
    Indicates that one entity is the largest metropolitan area associated with, contained within, or relevant to another entity, typically by population or spatial extent.
  • C. rankByPopulationInUS chosen
    Indicates the relative ordering of entities based on the size of their populations within the United States.
  • D. metropolitanAreaNickname
    Indicates that a metropolitan area is known by a particular informal or colloquial nickname.
  • E. areaRank
    Indicates the relative ordering or position of an entity based on the size of its area compared to others.
  • 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24feef1b08190bb9525f71cce053e completed Feb. 28, 2026, 2:16 a.m.
PD Predicate disambiguation batch_69a24eb82d408190b0f9c786152e8e4c completed Feb. 28, 2026, 2:11 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.