Triple

T22730775
Position Surface form Disambiguated ID Type / Status
Subject Basauri E562127 entity
Predicate servedBy P82 FINISHED
Object Bilbao 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: Bilbao metro | Statement: [Basauri, servedBy, Bilbao metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bilbao metro
Context triple: [Basauri, servedBy, Bilbao metro]
  • A. Bilbao metro chosen
    The Bilbao metro is a rapid transit system serving the city of Bilbao and its metropolitan area in Spain, known for its distinctive Norman Foster–designed stations and modern underground network.
  • B. Bilbao commuter rail
    Bilbao commuter rail is a suburban rail network serving the metropolitan area of Bilbao, Spain, providing frequent regional connections that complement the city’s metro and tram systems.
  • C. Seville Metro
    Seville Metro is a rapid transit system serving the city of Seville and its metropolitan area in southern Spain.
  • D. Madrid Metro
    Madrid Metro is the extensive rapid transit system serving Spain’s capital, known for its large network, frequent service, and role as a primary mode of urban transportation.
  • E. Madrid Metro Line 10
    Madrid Metro Line 10 is a major north–south rapid transit line in Madrid’s metro network, connecting key residential districts with important transport hubs and central 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1792cb9cc8190a7c45032427bca1a completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:21 p.m.