Triple

T10769649
Position Surface form Disambiguated ID Type / Status
Subject Line 3 (Barcelona Metro) E254040 entity
Predicate servesStation P839 FINISHED
Object Vallcarca station E904866 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: Vallcarca station | Statement: [Line 3 (Barcelona Metro), servesStation, Vallcarca station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vallcarca station
Context triple: [Line 3 (Barcelona Metro), servesStation, Vallcarca station]
  • A. 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.
  • B. Rocafort station
    Rocafort station is an underground Barcelona Metro stop in the Eixample district, serving passengers on Line 1.
  • C. Les Corts station chosen
    Les Corts station is an underground Barcelona Metro stop in the Les Corts district, providing urban rail service on the city's Line 3.
  • D. Maragall station
    Maragall station is a Barcelona Metro station serving the Horta-Guinardó district and acting as an interchange point between multiple metro lines.
  • E. Pedrero station
    Pedrero station is a Santiago Metro stop in Chile located near the Estadio Monumental, serving passengers on the city’s Line 5.
  • 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_69e4cbce653481909b201a2d5871e129 completed April 19, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:16 p.m.