Triple

T21175199
Position Surface form Disambiguated ID Type / Status
Subject Angamos station E521793 entity
Predicate publicTransportSystem P1288 FINISHED
Object Lima Metro 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 | Statement: [Angamos station, publicTransportSystem, Lima Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lima Metro
Context triple: [Angamos station, publicTransportSystem, Lima Metro]
  • 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. 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.
  • E. Valparaíso Metro
    Valparaíso Metro is a rapid transit and commuter rail system serving Chile’s coastal Valparaíso Region, connecting key cities and communities along the bay.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7271597288190b04baff9ca8d866c completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 3 p.m.