Triple

T1693059
Position Surface form Disambiguated ID Type / Status
Subject Chongqing E36590 entity
Predicate isRegionalFinancialCenter P13740 FINISHED
Object true 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: true | Statement: [Chongqing, isRegionalFinancialCenter, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isRegionalFinancialCenter
Context triple: [Chongqing, isRegionalFinancialCenter, true]
  • A. isEconomicCenter chosen
    Indicates that an entity functions as a primary hub for economic activity, such as trade, finance, or industry, within a region or system.
  • B. isFinancialCapitalOf
    Indicates that a city or region serves as the primary center for a country’s or area’s financial, banking, and economic market activities.
  • C. isGlobalCity
    Indicates that a city holds significant worldwide influence in areas such as economics, culture, politics, or connectivity, making it an important node in the global system.
  • D. hasFinancialDistrict
    Indicates that a place or city contains a designated area primarily devoted to financial and banking activities.
  • E. isGlobalCityFor
    Indicates that a city holds significant global importance or influence for a specified country, region, or domain (e.g., economy, culture, or politics).
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaf169da888190b3aa334752f1952b completed March 6, 2026, 3:23 p.m.
PD Predicate disambiguation batch_69aa61b8ce348190b46154af0b041ff0 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:29 p.m.