Triple

T4036319
Position Surface form Disambiguated ID Type / Status
Subject Río de Oro E83835 entity
Predicate formerMetropole P53588 FINISHED
Object Madrid E4617 NE FINISHED

How this triple was built (3 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: Madrid | Statement: [Río de Oro, formerMetropole, Madrid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Madrid
Context triple: [Río de Oro, formerMetropole, Madrid]
  • A. Madrid
    Madrid is a municipality in the Cundinamarca department of Colombia, located near Bogotá and known for its floriculture and agricultural production.
  • B. Madrid chosen
    Madrid is the capital and largest city of Spain, renowned for its rich cultural heritage, historic architecture, and vibrant arts and nightlife scenes.
  • C. Seville
    Seville is a historic Spanish city in Andalusia renowned for its rich Moorish and Christian heritage, iconic landmarks like the Giralda and Alcázar, and vibrant cultural traditions such as flamenco.
  • D. Madrid metropolitan area
    The Madrid metropolitan area is the large urban and economic region centered on Spain’s capital city, encompassing Madrid and its surrounding municipalities and suburbs.
  • E. Barcelona
    Barcelona is a major Spanish Mediterranean city renowned for its distinctive Catalan culture, Gaudí architecture, and vibrant arts and nightlife scenes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: formerMetropole
Context triple: [Río de Oro, formerMetropole, Madrid]
  • A. metropole
    Indicates a relationship where one place functions as the principal or most important city or center of activity for another place or region.
  • B. metropolitanOf
    Indicates that one place serves as the primary metropolitan center or core urban area for another place or region.
  • C. metropolitanSee
    Indicates a relationship where one metropolitan area views, oversees, or conceptually regards another place, entity, or aspect within its sphere of influence.
  • D. formerCapitalOf
    Indicates that a place once served as the capital of another entity (such as a country or region) but no longer holds that status.
  • E. hasMetropolitan
    Indicates that an entity is associated with, served by, or located within a specific metropolitan area.
  • F. None of above. chosen

Provenance (5 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb132f6c8190937acd35a6a5a9e4 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b39f55c819099e5ce90137de570 completed March 14, 2026, 2:05 p.m.
PD Predicate disambiguation batch_69aef8fe440c819093a7fa22c4ff3f1a completed March 9, 2026, 4:44 p.m.
PDg Predicate description generation batch_69aefa815f2c8190818c9ffd9d1bf478 completed March 9, 2026, 4:51 p.m.
Created at: March 9, 2026, 3:36 p.m.