Triple

T16858686
Position Surface form Disambiguated ID Type / Status
Subject Moratalaz E409852 entity
Predicate hasPublicTransport P1288 FINISHED
Object Artilleros station
Artilleros station is a Madrid Metro station serving the Moratalaz district in Spain.
 E1237585 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: Artilleros station | Statement: [Moratalaz, hasPublicTransport, Artilleros station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Artilleros station
Context triple: [Moratalaz, hasPublicTransport, Artilleros station]
  • A. Zárate station
    Zárate station is a railway terminus in Buenos Aires Province, Argentina, serving as the northern endpoint of a branch of the Mitre Line.
  • B. La Aurora station
    La Aurora station is a terminal stop on Medellín’s mass transit system, serving as an endpoint for one of the Metro de Medellín lines.
  • C. Argentine Carlini Station
    Argentine Carlini Station is an Argentine Antarctic research base on King George Island focused on scientific studies of the polar environment and climate.
  • D. La Raza station
    La Raza station is a major Mexico City Metro interchange known for connecting multiple lines and serving as an important transit hub in the city’s northern area.
  • E. Echeverría station
    Echeverría station is a stop on Buenos Aires' Line B subway, serving the Villa Urquiza neighborhood in the northern part of the city.
  • 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: Artilleros station
Triple: [Moratalaz, hasPublicTransport, Artilleros station]
Generated description
Artilleros station is a Madrid Metro station serving the Moratalaz district in Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Artilleros station
Target entity description: Artilleros station is a Madrid Metro station serving the Moratalaz district in Spain.
  • A. Zárate station
    Zárate station is a railway terminus in Buenos Aires Province, Argentina, serving as the northern endpoint of a branch of the Mitre Line.
  • B. La Aurora station
    La Aurora station is a terminal stop on Medellín’s mass transit system, serving as an endpoint for one of the Metro de Medellín lines.
  • C. Argentine Carlini Station
    Argentine Carlini Station is an Argentine Antarctic research base on King George Island focused on scientific studies of the polar environment and climate.
  • D. La Raza station
    La Raza station is a major Mexico City Metro interchange known for connecting multiple lines and serving as an important transit hub in the city’s northern area.
  • E. Echeverría station
    Echeverría station is a stop on Buenos Aires' Line B subway, serving the Villa Urquiza neighborhood in the northern part of the city.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37ef4748190b149d98fc0ab4205 completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2a6f2c48190874839f78f943fdb completed May 10, 2026, 5:38 p.m.
NEDg Description generation batch_6a00c3812c5881908e5c897a5b824e26 completed May 10, 2026, 5:42 p.m.
NED2 Entity disambiguation (via description) batch_6a00c3f62f3881909dc5665db8433063 completed May 10, 2026, 5:44 p.m.
Created at: April 10, 2026, 5:24 a.m.