Triple

T19054001
Position Surface form Disambiguated ID Type / Status
Subject San Fernando de Henares E466341 entity
Predicate hasFacility P105 FINISHED
Object San Fernando de Henares Metro station NE NERFINISHED

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: San Fernando de Henares Metro station | Statement: [San Fernando de Henares, hasFacility, San Fernando de Henares Metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Fernando de Henares Metro station
Context triple: [San Fernando de Henares, hasFacility, San Fernando de Henares Metro station]
  • A. Banco de España metro station
    Banco de España metro station is a central Madrid Metro stop on Line 2, located by the iconic Banco de España building and near major landmarks such as Cibeles and the Prado Museum.
  • B. Goya metro station
    Goya metro station is a Madrid Metro station in the Salamanca district that serves as a key access point to nearby venues, shops, and residential areas, including the Palacio de Deportes.
  • C. Atocha Renfe metro station
    Atocha Renfe metro station is a major Madrid Metro stop integrated with the city’s main Atocha railway complex, serving as a key hub for local and regional rail connections.
  • D. Argüelles metro station
    Argüelles metro station is a Madrid Metro station serving the central Argüelles area, providing urban rail connections on several lines in the Spanish capital.
  • E. Santiago Bernabéu metro station
    Santiago Bernabéu metro station is a Madrid Metro stop on Line 10 that serves the area around the Santiago Bernabéu Stadium in the Chamartín district of Madrid, Spain.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: San Fernando de Henares Metro station
Target entity description: San Fernando de Henares Metro station is a Madrid Metro stop serving the municipality of San Fernando de Henares in the Community of Madrid, Spain.
  • A. Banco de España metro station
    Banco de España metro station is a central Madrid Metro stop on Line 2, located by the iconic Banco de España building and near major landmarks such as Cibeles and the Prado Museum.
  • B. Goya metro station
    Goya metro station is a Madrid Metro station in the Salamanca district that serves as a key access point to nearby venues, shops, and residential areas, including the Palacio de Deportes.
  • C. Atocha Renfe metro station
    Atocha Renfe metro station is a major Madrid Metro stop integrated with the city’s main Atocha railway complex, serving as a key hub for local and regional rail connections.
  • D. Argüelles metro station
    Argüelles metro station is a Madrid Metro station serving the central Argüelles area, providing urban rail connections on several lines in the Spanish capital.
  • E. Santiago Bernabéu metro station
    Santiago Bernabéu metro station is a Madrid Metro stop on Line 10 that serves the area around the Santiago Bernabéu Stadium in the Chamartín district of Madrid, Spain.
  • F. None of above. chosen

Provenance (2 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc049f64819093ae9fda26a49bd2 completed April 20, 2026, 7:55 a.m.
Created at: April 10, 2026, 12:03 p.m.