Triple

T13478009
Position Surface form Disambiguated ID Type / Status
Subject Condesa de Barcelona E318297 entity
Predicate seatOrTerritory P29359 FINISHED
Object Barcelona E9407 NE FINISHED

How this triple was built (3 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: Barcelona | Statement: [Condesa de Barcelona, seatOrTerritory, Barcelona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barcelona
Context triple: [Condesa de Barcelona, seatOrTerritory, Barcelona]
  • A. Barcelona chosen
    Barcelona is a major Spanish Mediterranean city renowned for its distinctive Catalan culture, Gaudí architecture, and vibrant arts and nightlife scenes.
  • B. Barcelonès
    Barcelonès is a highly urbanized comarca in Catalonia that includes the city of Barcelona and serves as one of the most densely populated areas in Spain.
  • C. Madrid
    Madrid is a coastal municipality in the Philippine province of Surigao del Sur on the island of Mindanao.
  • D. Madrid
    Madrid is the capital and largest city of Spain, renowned for its rich cultural heritage, historic architecture, and vibrant arts and nightlife scenes.
  • E. Madrid
    Madrid is a municipality in the Cundinamarca department of Colombia, located near Bogotá and known for its floriculture and agricultural production.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seatOrTerritory
Context triple: [Condesa de Barcelona, seatOrTerritory, Barcelona]
  • A. seatLocatedIn chosen
    Indicates that a seat is situated within or belongs to a specific location or area.
  • B. seatLocatedAt
    Indicates that a seat is positioned or situated at a specific location or place.
  • C. seatLocation
    Indicates the spatial position or placement of a seat relative to a reference point or environment.
  • D. seatOrDomain
    Indicates a relationship where something serves as, or is associated with, the primary location, base, or jurisdictional area (seat or domain) of an entity.
  • E. seatOn
    Indicates that one entity is positioned or placed on a seat or seating surface associated with another entity.
  • F. None of above.

Provenance (4 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf266c508190930d30776c09ce35 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75481b6f48190b6cd6cef3e8dee20 completed May 3, 2026, 1:58 p.m.
PD Predicate disambiguation batch_69dbadfddefc81909ef7fde23b181b5c completed April 12, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:42 p.m.