Triple

T21277687
Position Surface form Disambiguated ID Type / Status
Subject Arriola station E524432 entity
Predicate network P2637 FINISHED
Object Lima Metro network NE NERFINISHED

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: Lima Metro network | Statement: [Arriola station, network, Lima Metro network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lima Metro network
Context triple: [Arriola station, network, Lima Metro network]
  • A. Lima Metro chosen
    Lima Metro is the rapid transit system serving the Lima metropolitan area in Peru, providing urban rail transportation across the city and its surroundings.
  • B. Lima Metro Line 1
    Lima Metro Line 1 is the first and main rapid transit line in Lima, Peru, running in a north–south direction and connecting several key districts across the city.
  • C. Lima public transport network
    The Lima public transport network is the integrated system of buses, bus rapid transit (Metropolitano), light rail (Metro de Lima), and other services that connect districts across Peru’s capital city.
  • D. Metrovalencia Line 1
    Metrovalencia Line 1 is one of the main lines of the Valencia metropolitan rail network, connecting the city with several surrounding towns and suburbs.
  • E. Santiago Metro
    Santiago Metro is the rapid transit system serving Chile's capital, known as one of Latin America’s largest and most extensive urban rail networks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736583c08819087a4726538e703e2 completed April 21, 2026, 8:33 a.m.
Created at: April 16, 2026, 4:02 p.m.