Triple

T10574811
Position Surface form Disambiguated ID Type / Status
Subject Line 4 (Barcelona Metro) E249580 entity
Predicate servesArea P82 FINISHED
Object Sant Martí E873723 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: Sant Martí | Statement: [Line 4 (Barcelona Metro), servesArea, Sant Martí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sant Martí
Context triple: [Line 4 (Barcelona Metro), servesArea, Sant Martí]
  • A. Sant Martí chosen
    Sant Martí is a Barcelona Metro station on line 2 serving the Sant Martí district in the northeastern part of the city.
  • B. Sant Pere Màrtir
    Sant Pere Màrtir is a notable religious landmark in the Catalan city of Manresa, recognized for its historical and cultural significance in the region.
  • C. Sant Martí de Tous
    Sant Martí de Tous is a small municipality in the Anoia comarca of Catalonia, Spain, known for its rural character and historic castle.
  • D. Sant Joan Despí
    Sant Joan Despí is a municipality in the Baix Llobregat comarca near Barcelona, Spain, known for its modernist architecture and role as a residential and industrial suburb of the Catalan capital.
  • E. Sant Antoni de Portmany
    Sant Antoni de Portmany is a coastal town on the Spanish island of Ibiza, known for its vibrant nightlife, beaches, and sunset views.
  • 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_69d97a1bba1c8190af5a078f40f3bc0a completed April 10, 2026, 10:30 p.m.
Created at: April 6, 2026, 12:38 p.m.