Triple

T12028665
Position Surface form Disambiguated ID Type / Status
Subject Passeig de Gràcia E286345 entity
Predicate connects P390 FINISHED
Object Plaça de Catalunya E276262 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: Plaça de Catalunya | Statement: [Passeig de Gràcia, connects, Plaça de Catalunya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plaça de Catalunya
Context triple: [Passeig de Gràcia, connects, Plaça de Catalunya]
  • A. Plaça de Catalunya chosen
    Plaça de Catalunya is a large central square in Barcelona that serves as a major transportation, commercial, and social hub between the city’s old town and the Eixample district.
  • B. Plaça de Sants
    Plaça de Sants is a Barcelona Metro station in the Sants neighborhood, serving as a local transport hub with connections to multiple metro lines.
  • C. Plaça del Pi
    Plaça del Pi is a picturesque historic square in Barcelona’s Gothic Quarter, known for its medieval architecture and the adjacent Santa Maria del Pi church.
  • D. Plaça d’Urquinaona
    Plaça d’Urquinaona is a central square in Barcelona, Spain, known as a busy traffic and transport hub situated between the Eixample and Ciutat Vella districts.
  • E. Plaça de Colom
    Plaça de Colom is a prominent public square in Barcelona, Spain, best known for hosting the iconic Christopher Columbus Monument near the city’s waterfront.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f13ae8819097a5740f7c51df82 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b8111b88190a42a8904a2d26862 completed May 1, 2026, 11:16 a.m.
Created at: April 8, 2026, 9:47 p.m.