Triple

T2149485
Position Surface form Disambiguated ID Type / Status
Subject 12th arrondissement of Paris E47145 entity
Predicate hasPopulationRankInParis P25930 FINISHED
Object one of the most populous arrondissements 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: one of the most populous arrondissements | Statement: [12th arrondissement of Paris, hasPopulationRankInParis, one of the most populous arrondissements]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPopulationRankInParis
Context triple: [12th arrondissement of Paris, hasPopulationRankInParis, one of the most populous arrondissements]
  • A. populationRankInFrance
    Indicates the relative position of an entity in an ordered list based on its population size within France.
  • 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. cityPopulationContext
    Indicates the contextual relationship between a city and information about its population, such as size, distribution, or demographic characteristics.
  • E. hasPopulationRankInCanada
    Indicates the relative position of an entity’s population size compared to other entities within Canada.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeaa14bc81908486683decd7ae42 completed March 7, 2026, 5:59 a.m.
PD Predicate disambiguation batch_69abbd9846e88190b6c2941dd9ce7749 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:44 p.m.