Triple

T11479543
Position Surface form Disambiguated ID Type / Status
Subject County of Urgell E272105 entity
Predicate contains P35 FINISHED
Object La Seu d'Urgell E416199 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: La Seu d'Urgell | Statement: [County of Urgell, contains, La Seu d'Urgell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Seu d'Urgell
Context triple: [County of Urgell, contains, La Seu d'Urgell]
  • A. La Seu d’Urgell chosen
    La Seu d’Urgell is a historic town in Catalonia, Spain, known for its medieval cathedral and role as the episcopal seat of the Bishop of Urgell.
  • B. La Seu
    La Seu is the iconic Gothic Roman Catholic cathedral of Palma de Mallorca, renowned for its imposing seaside silhouette and stunning architecture.
  • C. Pla d'Urgell
    Pla d'Urgell is a comarca (county) in the inland plains of Catalonia, Spain, known for its irrigated agriculture and small rural towns.
  • D. Bellesguard
    Bellesguard is a modernist manor house in Barcelona designed by Antoni Gaudí, notable for its medieval-inspired tower, intricate stonework, and integration of Catalan Gothic and Art Nouveau elements.
  • E. Sant Sadurní d’Anoia
    Sant Sadurní d’Anoia is a Catalan town renowned as the main center of cava (sparkling wine) production in Spain.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294f0e948190b2e106beb86e4b2c completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e60434966c81909a277b6a0fd9f358 completed April 20, 2026, 10:47 a.m.
Created at: April 8, 2026, 9:36 p.m.