Triple

T15340509
Position Surface form Disambiguated ID Type / Status
Subject Premio Biblioteca Breve E366779 entity
Predicate hasAwardedLocation P4491 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: [Premio Biblioteca Breve, hasAwardedLocation, Barcelona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barcelona
Context triple: [Premio Biblioteca Breve, hasAwardedLocation, 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: hasAwardedLocation
Context triple: [Premio Biblioteca Breve, hasAwardedLocation, Barcelona]
  • A. hasAwarded
    Indicates that one entity has given or conferred an award to another entity.
  • B. hasAwardedArea
    Indicates that one entity has formally granted or designated a specific area or territory to another entity.
  • C. locationOfAwardedWork
    Indicates the place where the work for which an award was given was created, performed, or took place.
  • D. awardingCity chosen
    Indicates the city in which an award is formally given or conferred.
  • E. isAwardedWithin
    Indicates that an award or recognition is granted to an entity within a specified context, scope, or time frame.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e12eb7c8190944a260aa1aa9156 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ecb904819082454622dcd77556 completed May 9, 2026, 9:44 a.m.
PD Predicate disambiguation batch_69deca9659f48190b8661df223ce5078 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:17 a.m.