Triple

T6637074
Position Surface form Disambiguated ID Type / Status
Subject LEBL E150484 entity
Predicate hasIATACode P2569 FINISHED
Object BCN E9407 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: BCN | Statement: [LEBL, hasIATACode, BCN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BCN
Context triple: [LEBL, hasIATACode, BCN]
  • A. 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.
  • B. Barcelona chosen
    Barcelona is a major Spanish Mediterranean city renowned for its distinctive Catalan culture, Gaudí architecture, and vibrant arts and nightlife scenes.
  • C. Sant Adrià de Besòs
    Sant Adrià de Besòs is a coastal municipality in the metropolitan area of Barcelona, Catalonia, situated at the mouth of the Besòs River and characterized by its dense urban fabric and industrial heritage.
  • D. Esplugues de Llobregat
    Esplugues de Llobregat is a municipality in the metropolitan area of Barcelona, Catalonia, known for its residential character and proximity to the Catalan capital.
  • E. Eixample
    Eixample is a central district of Barcelona known for its distinctive grid layout, wide avenues, and numerous examples of Modernist architecture, including works by Antoni Gaudí.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afcf439c8190b9334b34774da821 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbf71874819080cc89b6740b1567 completed March 27, 2026, 6:27 p.m.
Created at: March 27, 2026, 1:59 p.m.