Triple

T5401957
Position Surface form Disambiguated ID Type / Status
Subject Seville Metro E120797 entity
Predicate operator P179 FINISHED
Object Metro de Sevilla, S.A. E120797 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: Metro de Sevilla, S.A. | Statement: [Seville Metro, operator, Metro de Sevilla, S.A.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro de Sevilla, S.A.
Context triple: [Seville Metro, operator, Metro de Sevilla, S.A.]
  • A. Seville Metro chosen
    Seville Metro is a rapid transit system serving the city of Seville and its metropolitan area in southern Spain.
  • B. Consorcio Regional de Transportes de Madrid
    The Consorcio Regional de Transportes de Madrid is the public authority that plans, coordinates, and oversees the integrated public transport system across the Madrid region.
  • C. Transports Metropolitans de Barcelona
    Transports Metropolitans de Barcelona is the main public transport authority in Barcelona, managing the city’s metro, bus, and other urban transit services.
  • D. Metro Ligero de Madrid
    Metro Ligero de Madrid is a light rail system serving several suburban and peripheral areas of Madrid, complementing the city's main metro network.
  • E. 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.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8771b25c819080da247bc3164cd9 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3383b360819087447e6813c45edf completed March 22, 2026, 12:10 a.m.
Created at: March 20, 2026, 2:04 p.m.