Triple

T17150149
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Urgell E416198 entity
Predicate cathedralLocatedIn P16620 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: [Diocese of Urgell, cathedralLocatedIn, La Seu d’Urgell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Seu d’Urgell
Context triple: [Diocese of Urgell, cathedralLocatedIn, 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 Vella
    La Seu Vella is a monumental former cathedral and iconic hilltop landmark overlooking the city of Lleida in Catalonia, Spain.
  • C. House of Urgell
    The House of Urgell was a medieval Catalan noble dynasty that held the County of Urgell and played a significant role in the politics of the Crown of Aragon.
  • D. La Seu
    La Seu is the iconic Gothic Roman Catholic cathedral of Palma de Mallorca, renowned for its imposing seaside silhouette and stunning architecture.
  • E. 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.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f4067470819084aa233c4c4a6d4f completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148337a348190b8739eb3f553f1d9 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:36 a.m.