Triple

T11575495
Position Surface form Disambiguated ID Type / Status
Subject County of Besalú E274492 entity
Predicate partOf P40 FINISHED
Object Old Catalonia E927728 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: Old Catalonia | Statement: [County of Besalú, partOf, Old Catalonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Catalonia
Context triple: [County of Besalú, partOf, Old Catalonia]
  • A. Old Catalonia chosen
    Old Catalonia is a historical region in the eastern Pyrenees that formed the core of medieval Catalan territories and early Catalan identity.
  • B. Estat Català
    Estat Català was an early 20th-century Catalan nationalist and pro-independence political organization that played a key role in the development of modern Catalan separatism.
  • C. Pré-Catelan
    Pré-Catelan is a landscaped garden and leisure area within Paris’s Bois de Boulogne, known for its lawns, trees, and outdoor cultural events.
  • D. Ciutat Vella
    Ciutat Vella is Barcelona’s historic city center, known for its medieval streets, Gothic architecture, and major cultural landmarks.
  • E. Northern Catalonia
    Northern Catalonia is a historical Catalan-speaking region now in southern France, known for its shared cultural and linguistic heritage with Catalonia.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89049721081909278adfada668ef9 completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e713e49f508190b9bad316d68eab42 completed April 21, 2026, 6:06 a.m.
Created at: April 8, 2026, 9:38 p.m.