Triple

T8423396
Position Surface form Disambiguated ID Type / Status
Subject Plaza de Mayo station (Line A, Buenos Aires Underground) E198916 entity
Predicate line P1293 FINISHED
Object Line A E191064 NE FINISHED

How this triple was built (2 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: Line A | Statement: [Plaza de Mayo station (Line A, Buenos Aires Underground), line, Line A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line A
Context triple: [Plaza de Mayo station (Line A, Buenos Aires Underground), line, Line A]
  • A. Line A
    Line A is a line of the Mexico City Metro system that serves the eastern part of the metropolitan area, connecting central Mexico City with several suburban municipalities.
  • B. Line A
    Line A is the main north–south rapid transit line of the Medellín Metro system in Colombia, serving as its busiest and most central corridor.
  • C. Line A chosen
    Line A is the historic first subway line of the Buenos Aires Underground, known for its early 20th-century wooden cars and route through central neighborhoods.
  • D. Line A
    Line A is one of the main routes of the Strasbourg tramway network, providing key light-rail transit across the city.
  • E. Line A
    Line A is one of the main lines of the Prague Metro, running east–west through the city and serving several central and residential districts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb859f787481908a11797a317c8849 completed March 31, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce035aac4c81909066c1ca1318d006 completed April 2, 2026, 5:49 a.m.
Created at: March 30, 2026, 6:06 p.m.