Triple

T16858685
Position Surface form Disambiguated ID Type / Status
Subject Moratalaz E409852 entity
Predicate hasPublicTransport P1288 FINISHED
Object Vinateros station
Vinateros station is a Madrid Metro station serving the Moratalaz district in Spain.
E1236513 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: Vinateros station | Statement: [Moratalaz, hasPublicTransport, Vinateros station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinateros station
Context triple: [Moratalaz, hasPublicTransport, Vinateros station]
  • A. Varela station
    Varela station is a stop on Buenos Aires’ Line E subway, serving passengers in the city’s southeastern neighborhoods.
  • B. Valle Gómez station
    Valle Gómez station is a stop on Mexico City’s Metro system located in the northeastern part of the city, serving local residential neighborhoods along Line 5.
  • C. 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.
  • D. Pedro Gil station
    Pedro Gil station is an elevated Manila Light Rail Transit (LRT) station on Line 1 serving the Ermita district along Taft Avenue in Manila, Philippines.
  • E. Vicente Valdés station
    Vicente Valdés station is a key interchange and terminal station in Santiago's metro network, serving as an important hub for passengers in the southern 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: Vinateros station
Triple: [Moratalaz, hasPublicTransport, Vinateros station]
Generated description
Vinateros 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: Vinateros station
Target entity description: Vinateros station is a Madrid Metro station serving the Moratalaz district in Spain.
  • A. Varela station
    Varela station is a stop on Buenos Aires’ Line E subway, serving passengers in the city’s southeastern neighborhoods.
  • B. Valle Gómez station
    Valle Gómez station is a stop on Mexico City’s Metro system located in the northeastern part of the city, serving local residential neighborhoods along Line 5.
  • C. 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.
  • D. Pedro Gil station
    Pedro Gil station is an elevated Manila Light Rail Transit (LRT) station on Line 1 serving the Ermita district along Taft Avenue in Manila, Philippines.
  • E. Vicente Valdés station
    Vicente Valdés station is a key interchange and terminal station in Santiago's metro network, serving as an important hub for passengers in the southern 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_6a00bb25300c8190a352037c21c244bd completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bbc80d54819092de4ee363508b49 completed May 10, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc66dbc08190bd569ed2b355c99d completed May 10, 2026, 5:12 p.m.
Created at: April 10, 2026, 5:24 a.m.