Triple

T3889279
Position Surface form Disambiguated ID Type / Status
Subject Izzy E88018 entity
Predicate introducedInCity P16920 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: [Izzy, introducedInCity, Barcelona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barcelona
Context triple: [Izzy, introducedInCity, 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 the capital and largest city of Spain, renowned for its rich cultural heritage, historic architecture, and vibrant arts and nightlife scenes.
  • D. Madrid
    Madrid is a municipality in the Cundinamarca department of Colombia, located near Bogotá and known for its floriculture and agricultural production.
  • E. Mataró
    Mataró is a coastal city in northeastern Spain known as an important commercial and industrial center on the Mediterranean near Barcelona.
  • 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: introducedInCity
Context triple: [Izzy, introducedInCity, Barcelona]
  • A. proposedInCity
    Indicates that something, such as a plan, project, or idea, was formally proposed within a particular city.
  • B. firstUnveiledInCity chosen
    Indicates that something was publicly revealed, introduced, or debuted for the first time in a particular city.
  • C. issuedInCity
    Indicates that an item such as a document, license, or official record was formally issued or granted within a particular city.
  • D. representedCity
    Indicates that an entity serves as the official representative or proxy for a particular city.
  • E. basedInCity
    Indicates that an entity has its primary location, headquarters, or main operations situated in a specified city.
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecaee7148190ada451ccfc6582ee completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c8f299c8190a6a53ec59837b402 completed March 14, 2026, 8:30 a.m.
PD Predicate disambiguation batch_69aee759609c8190985e96ec6d96dedd completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:21 p.m.