Triple

T5506129
Position Surface form Disambiguated ID Type / Status
Subject Line 3 (Madrid Metro) E144444 entity
Predicate hasStation P35 FINISHED
Object Argüelles
Argüelles is a Madrid Metro station serving the Argüelles neighborhood, providing an interchange between several central metro lines.
E533334 NE FINISHED

How this triple was built (4 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: Argüelles | Statement: [Line 3 (Madrid Metro), hasStation, Argüelles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argüelles
Context triple: [Line 3 (Madrid Metro), hasStation, Argüelles]
  • A. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • B. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • C. Salmerón
    Salmerón is a Spanish surname associated with notable figures in religion, politics, and the arts.
  • D. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • E. Espinosa
    Espinosa is a neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Argüelles
Triple: [Line 3 (Madrid Metro), hasStation, Argüelles]
Generated description
Argüelles is a Madrid Metro station serving the Argüelles neighborhood, providing an interchange between several central metro lines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Argüelles
Target entity description: Argüelles is a Madrid Metro station serving the Argüelles neighborhood, providing an interchange between several central metro lines.
  • A. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • B. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • C. Salmerón
    Salmerón is a Spanish surname associated with notable figures in religion, politics, and the arts.
  • D. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • E. Espinosa
    Espinosa is a neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f47d2dc8190ad874be6902d8a4c completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027b7ef2481908b43f34721b8a8b3 completed March 22, 2026, 5:32 p.m.
NEDg Description generation batch_69c03d668fe88190a1cf88b0708b405f completed March 22, 2026, 7:05 p.m.
NED2 Entity disambiguation (via description) batch_69c03de30928819094af492af0281130 completed March 22, 2026, 7:07 p.m.
Created at: March 22, 2026, 3:32 p.m.