Triple

T8181249
Position Surface form Disambiguated ID Type / Status
Subject Line A (Buenos Aires Underground) E191064 entity
Predicate hasStation P35 FINISHED
Object Loria station
Loria station is a stop on Buenos Aires’ Line A subway, serving passengers in the Balvanera neighborhood of the city.
 E720352 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: Loria station | Statement: [Line A (Buenos Aires Underground), hasStation, Loria station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Loria station
Context triple: [Line A (Buenos Aires Underground), hasStation, Loria station]
  • A. La Cisterna station
    La Cisterna station is a major interchange and southern endpoint of Santiago’s metro network, connecting Line 4A with other lines and local transport services.
  • B. Oriente station
    Oriente station is a major multimodal transport hub in Lisbon, Portugal, serving as a key connection point for trains, metro, buses, and regional services.
  • C. Cyrville station
    Cyrville station is a light-rail transit stop in Ottawa, Ontario, serving the city's Confederation Line.
  • D. Pape station
    Pape station is a subway station in Toronto, Ontario, serving the city's Bloor–Danforth line in the Greektown area.
  • E. Impulsora station
    Impulsora station is a Mexico City Metro station serving the northeastern area of the metropolitan zone on Line B.
  • 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: Loria station
Triple: [Line A (Buenos Aires Underground), hasStation, Loria station]
Generated description
Loria station is a stop on Buenos Aires’ Line A subway, serving passengers in the Balvanera neighborhood of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Loria station
Target entity description: Loria station is a stop on Buenos Aires’ Line A subway, serving passengers in the Balvanera neighborhood of the city.
  • A. La Cisterna station
    La Cisterna station is a major interchange and southern endpoint of Santiago’s metro network, connecting Line 4A with other lines and local transport services.
  • B. Oriente station
    Oriente station is a major multimodal transport hub in Lisbon, Portugal, serving as a key connection point for trains, metro, buses, and regional services.
  • C. Cyrville station
    Cyrville station is a light-rail transit stop in Ottawa, Ontario, serving the city's Confederation Line.
  • D. Pape station
    Pape station is a subway station in Toronto, Ontario, serving the city's Bloor–Danforth line in the Greektown area.
  • E. Impulsora station
    Impulsora station is a Mexico City Metro station serving the northeastern area of the metropolitan zone on Line B.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c4c2e388190b86854f8b1765e61 completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3489fd8c8190a919aff6e3b3df31 completed April 1, 2026, 3:06 p.m.
NEDg Description generation batch_69cd36ef47e88190ae96ea2459552247 completed April 1, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_69cd4e9d362481908283d58b03c7ef9b completed April 1, 2026, 4:58 p.m.
Created at: March 30, 2026, 5:40 p.m.