Triple

T2983416
Position Surface form Disambiguated ID Type / Status
Subject Lleida E80563 entity
Predicate traditionalNameInSpanish P21030 FINISHED
Object Lérida E80563 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: Lérida | Statement: [Lleida, traditionalNameInSpanish, Lérida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lérida
Context triple: [Lleida, traditionalNameInSpanish, Lérida]
  • A. Lleida chosen
    Lleida is a historic city in western Catalonia, Spain, known for its medieval Seu Vella cathedral and role as a regional agricultural and commercial center.
  • B. Girona
    Girona is a historic city in northeastern Catalonia, Spain, known for its well-preserved medieval architecture, walled Old Quarter, and prominent cathedral.
  • C. Tarragona
    Tarragona is a historic port city in northeastern Spain, renowned for its well-preserved Roman ruins and status as a major cultural and economic center in Catalonia.
  • 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. Sabadell
    Sabadell is a major industrial and commercial city in Catalonia, Spain, known historically for its textile industry and now as part of the Barcelona metropolitan area.
  • 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: traditionalNameInSpanish
Context triple: [Lleida, traditionalNameInSpanish, Lérida]
  • A. officialNameInSpanish
    Indicates the officially recognized name of an entity when expressed in the Spanish language.
  • B. hasNameInSpanish
    Indicates that an entity is associated with a specific name expressed in the Spanish language.
  • C. traditionalLanguageName chosen
    Indicates the name traditionally used in a particular language to refer to the subject entity.
  • D. fractionalNameInSpanish
    Indicates that an entity’s fractional value is expressed or named in the Spanish language.
  • E. hasTraditionalName
    Indicates that an entity is associated with a name traditionally used or recognized for it, often rooted in long-standing cultural or historical practice.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c481fc81909971c96352a881b4 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e31a8188190bd5ad6c9757e7141 completed March 11, 2026, 8:56 a.m.
PD Predicate disambiguation batch_69ad9611fc348190a5d17d237f653f60 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:58 p.m.