Triple

T10769644
Position Surface form Disambiguated ID Type / Status
Subject Line 3 (Barcelona Metro) E254040 entity
Predicate servesStation P839 FINISHED
Object Catalunya station E858042 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: Catalunya station | Statement: [Line 3 (Barcelona Metro), servesStation, Catalunya station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catalunya station
Context triple: [Line 3 (Barcelona Metro), servesStation, Catalunya station]
  • A. Catalunya station chosen
    Catalunya station is a major central transport hub in Barcelona that connects metro, commuter rail, and regional train services beneath Plaça de Catalunya.
  • B. Tarragona station
    Tarragona station is an underground Barcelona Metro stop located in the Eixample district, providing urban rail access near Sants railway station.
  • C. Maragall station
    Maragall station is a Barcelona Metro station serving the Horta-Guinardó district and acting as an interchange point between multiple metro lines.
  • D. Poble Sec station
    Poble Sec station is an underground Barcelona Metro stop in the Sants-Montjuïc district, providing access to the Poble-sec neighborhood near Montjuïc hill.
  • E. Les Corts station
    Les Corts station is an underground Barcelona Metro stop in the Les Corts district, providing urban rail service on the city's Line 3.
  • 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_69e49658b5a48190813dcf114d92be8e completed April 19, 2026, 8:46 a.m.
Created at: April 8, 2026, 9:16 p.m.