Triple

T10769197
Position Surface form Disambiguated ID Type / Status
Subject Vallès Oriental E254029 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: [Vallès Oriental, borders, Maresme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maresme
Context triple: [Vallès Oriental, 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d732307fb88190ba1447f68523c58a completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69de23798af48190874d7e12c5155913 completed April 14, 2026, 11:22 a.m.
Created at: April 8, 2026, 9:16 p.m.