Triple

T16758108
Position Surface form Disambiguated ID Type / Status
Subject Güell Pavilions E407262 entity
Predicate associatedWith P37 FINISHED
Object Güell family E254032 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: Güell family | Statement: [Güell Pavilions, associatedWith, Güell family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Güell family
Context triple: [Güell Pavilions, associatedWith, Güell family]
  • A. Güell
    Güell is a river in the Catalonia region of northeastern Spain that flows through the city of Girona.
  • B. Les Ferreres
    Les Ferreres is a locality in Catalonia, Spain, best known for its ancient Roman aqueduct commonly called the Pont del Diable (Devil’s Bridge).
  • C. Eusebi Güell chosen
    Eusebi Güell was a wealthy Catalan industrialist and politician best known as a major patron of architect Antoni Gaudí, commissioning several of his most iconic works.
  • D. Batlló family
    The Batlló family was a prominent Catalan bourgeois family in Barcelona, best known for commissioning Antoni Gaudí’s iconic modernist building now known as Casa Batlló.
  • E. Joan Güell i Ferrer
    Joan Güell i Ferrer was a prominent 19th-century Catalan industrialist and businessman who played a key role in the early industrialization of Barcelona.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abea156c8190a5ee6d0028471810 completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52886e48190b7a1e6fccd9a5709 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:21 a.m.