Triple

T10617139
Position Surface form Disambiguated ID Type / Status
Subject Barcelonès E276149 entity
Predicate borders P224 FINISHED
Object Maresme E250808 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: Maresme | Statement: [Barcelonès, borders, Maresme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maresme
Context triple: [Barcelonès, borders, Maresme]
  • A. Maresme chosen
    Maresme is a coastal comarca in Catalonia, Spain, known for its Mediterranean beaches, mild climate, and proximity to Barcelona.
  • B. Llobregat Delta
    Llobregat Delta is a coastal wetland and river delta area near Barcelona, Spain, known for its ecological importance, bird habitats, and agricultural lands.
  • C. Terres de l’Ebre
    Terres de l’Ebre is a southern Catalan region in Spain known for the Ebro River delta, rich wetlands, and distinctive agricultural and natural landscapes.
  • D. Terra Alta
    Terra Alta is a rural comarca in southern Catalonia, Spain, known for its wine production and as a major battleground during the Spanish Civil War.
  • E. Ebro Delta
    The Ebro Delta is a large wetland and river delta in northeastern Spain known for its rich biodiversity, rice fields, and important bird habitats along the Mediterranean coast.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df6e2df4819099a19b59d90d0dd1 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b7bb7108190b0f1cbe4117abec0 completed April 10, 2026, 9:28 p.m.
Created at: April 8, 2026, 7:33 p.m.