Triple

T9977146
Position Surface form Disambiguated ID Type / Status
Subject Line C (Buenos Aires Underground) E196359 entity
Predicate isMajorInterchangeAxis P21867 FINISHED
Object Buenos Aires Underground network E723858 NE FINISHED

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: Buenos Aires Underground network | Statement: [Line C (Buenos Aires Underground), isMajorInterchangeAxis, Buenos Aires Underground network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buenos Aires Underground network
Context triple: [Line C (Buenos Aires Underground), isMajorInterchangeAxis, Buenos Aires Underground network]
  • A. Buenos Aires Underground public transit system chosen
    The Buenos Aires Underground public transit system is the city’s primary rapid transit network, consisting of multiple subway lines that connect key neighborhoods and serve as a backbone of urban transportation in Argentina’s capital.
  • B. Buenos Aires Premetro
    Buenos Aires Premetro is a light rail feeder system in Buenos Aires that connects outlying neighborhoods to the city’s main subway network.
  • C. Buenos Aires commuter rail network
    The Buenos Aires commuter rail network is an extensive suburban railway system that connects the Argentine capital with its surrounding metropolitan area, serving as a major backbone of daily passenger transport.
  • D. Buenos Aires Underground Line A
    Buenos Aires Underground Line A is the oldest line of the Buenos Aires Metro, known for its historic wooden cars and route linking the city center with western neighborhoods.
  • E. Buenos Aires Underground Line E
    Buenos Aires Underground Line E is one of the lines of the Buenos Aires Metro system, running primarily east–west and connecting central Buenos Aires with southeastern neighborhoods.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isMajorInterchangeAxis
Context triple: [Line C (Buenos Aires Underground), isMajorInterchangeAxis, Buenos Aires Underground network]
  • A. isMajorInterchangeFor chosen
    Indicates that one location functions as a primary hub where multiple routes or lines connect or transfer between each other for another location.
  • B. isMajorTransportLink
    Indicates that something serves as a primary or highly significant route or connection for transporting people or goods between places.
  • C. isMajorRoadJunction
    Indicates that a location serves as a primary intersection where major roads or highways meet or cross.
  • D. isMajorTransportLinkIn
    Indicates that a transport route or connection serves as a primary or significant transportation link within a specified area or region.
  • E. isMajorArterialFor
    Indicates that something functions as a primary high-capacity route or conduit serving as a main channel for movement, flow, or traffic for something else.
  • F. None of above.

Provenance (4 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb84d0d3c8190b268582bb79c8973 completed April 2, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6a79eb5c08190ae75797556bc0943 completed April 8, 2026, 7:08 p.m.
PD Predicate disambiguation batch_69cd1d9daa808190b413a1b9a1e929e2 completed April 1, 2026, 1:29 p.m.
Created at: March 30, 2026, 8:48 p.m.