Triple

T9977149
Position Surface form Disambiguated ID Type / Status
Subject Line C (Buenos Aires Underground) E196359 entity
Predicate hasLocaleName P72248 FINISHED
Object Línea C E712508 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: Línea C | Statement: [Line C (Buenos Aires Underground), hasLocaleName, Línea C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Línea C
Context triple: [Line C (Buenos Aires Underground), hasLocaleName, Línea C]
  • A. Línea E
    Línea E is a line of the Buenos Aires Underground that serves several neighborhoods in Argentina’s capital as part of its metro system.
  • B. Nord-Sud Line B
    Nord-Sud Line B was the original name of what is now Paris Métro Line 13, a major north–south subway line in the French capital.
  • C. Line C of Buenos Aires Underground chosen
    Line C of the Buenos Aires Underground is a major north–south subway line that connects key commercial and transport hubs in the city’s central area.
  • D. Bolívar (Line E)
    Bolívar (Line E) is a central Buenos Aires Underground station on Line E, located in the historic downtown area near Plaza de Mayo.
  • E. Line H (Buenos Aires Underground)
    Line H of the Buenos Aires Underground is a metro line that runs roughly north–south, connecting key neighborhoods and transit hubs across the city as part of its rapid transit network.
  • 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_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_69d23de601f0819096004bf60ffa2d2c completed April 5, 2026, 10:48 a.m.
Created at: March 30, 2026, 8:48 p.m.