Triple

T10769764
Position Surface form Disambiguated ID Type / Status
Subject Line 11 (Barcelona Metro) E254042 entity
Predicate hasStation P35 FINISHED
Object Can Cuiàs station E884828 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: Can Cuiàs station | Statement: [Line 11 (Barcelona Metro), hasStation, Can Cuiàs station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Can Cuiàs station
Context triple: [Line 11 (Barcelona Metro), hasStation, Can Cuiàs station]
  • A. Can Cuiàs station chosen
    Can Cuiàs station is a Barcelona Metro station serving the Can Cuiàs neighborhood in Montcada i Reixac, forming one end of the city’s automated Line 11.
  • B. Acatitla station
    Acatitla station is a Mexico City Metro station in the eastern part of the city that serves local commuters on the system’s Line A.
  • C. Catalinas station
    Catalinas station is a stop on Buenos Aires’ Line E underground, serving the Catalinas area in the city’s central business district.
  • D. San Carlos station
    San Carlos station is a commuter rail station in San Carlos, California, serving Caltrain passengers on the San Francisco Peninsula.
  • E. Guadalupe station
    Guadalupe station is an elevated rapid transit stop on Manila's MRT Line 3 serving the Guadalupe area in Makati, Philippines.
  • 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.