Triple

T10769639
Position Surface form Disambiguated ID Type / Status
Subject Line 3 (Barcelona Metro) E254040 entity
Predicate servesStation P839 FINISHED
Object Espanya station E873720 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: Espanya station | Statement: [Line 3 (Barcelona Metro), servesStation, Espanya station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Espanya station
Context triple: [Line 3 (Barcelona Metro), servesStation, Espanya station]
  • A. Espanya station chosen
    Espanya station is a major Barcelona Metro interchange and transport hub located at Plaça d'Espanya, connecting multiple metro lines and other public transit services.
  • B. Torrassa station
    Torrassa station is an underground rapid transit stop in L'Hospitalet de Llobregat that forms part of Barcelona’s metro network.
  • C. Catalunya station
    Catalunya station is a major central transport hub in Barcelona that connects metro, commuter rail, and regional train services beneath Plaça de Catalunya.
  • D. Palau Reial station
    Palau Reial station is a Barcelona Metro stop located near the Palau Reial de Pedralbes and the university area in the Les Corts district.
  • E. La Granja station
    La Granja station is a stop on Madrid Metro’s Line 4A serving the La Granja area in the city’s rapid transit network.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d732307fb88190ba1447f68523c58a completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69de55cbbecc81908c2ddf2739ce7ffe completed April 14, 2026, 2:57 p.m.
Created at: April 8, 2026, 9:16 p.m.