Triple

T19626423
Position Surface form Disambiguated ID Type / Status
Subject Salvador metro station E471147 entity
Predicate operator P179 FINISHED
Object Metro de Santiago 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: Metro de Santiago | Statement: [Salvador metro station, operator, Metro de Santiago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro de Santiago
Context triple: [Salvador metro station, operator, Metro de Santiago]
  • A. Metros de Santiago
    Metros de Santiago is a professional basketball team based in Santiago, Dominican Republic, competing in the country’s top basketball league.
  • B. Santiago Metro chosen
    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.
  • C. 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.
  • D. Metrotren Rancagua commuter service
    Metrotren Rancagua commuter service is a suburban passenger rail line in central Chile that connects Santiago with the city of Rancagua and surrounding areas.
  • E. Santiago Metro Line 2
    Santiago Metro Line 2 is one of the main rapid transit lines in Santiago, Chile, running in a generally north–south direction and serving key residential and commercial areas of the city.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e9ff208190afb33c910ed2147b completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.