Triple

T10574713
Position Surface form Disambiguated ID Type / Status
Subject Line 1 (Barcelona Metro) E249578 entity
Predicate hasStation P35 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 1 (Barcelona Metro), hasStation, Catalunya station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catalunya station
Context triple: [Line 1 (Barcelona Metro), hasStation, 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. Plaça de Sants station
    Plaça de Sants station is an underground Barcelona Metro stop in the Sants neighborhood that serves as a local transport hub with connections to multiple metro lines.
  • C. Urgell station
    Urgell station is an underground Barcelona Metro stop located in the Eixample district, serving passengers on the city's Line 1.
  • D. Barcelona Sants railway station
    Barcelona Sants railway station is Barcelona’s main intercity and high-speed rail hub, serving as a major national and international transport gateway in Spain.
  • E. Martínez Nadal station
    Martínez Nadal station is a rapid transit stop on the Tren Urbano system serving the San Juan metropolitan area in Puerto Rico.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52749dda08190b0c9627a931c5848 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbacc05334819081e994d75b5e9318 completed April 12, 2026, 2:31 p.m.
Created at: April 6, 2026, 12:38 p.m.