Triple

T22744374
Position Surface form Disambiguated ID Type / Status
Subject Monestir de Sant Jeroni de la Murtra E562506 entity
Predicate hasView P854 FINISHED
Object Serra de Marina NE NERFINISHED

How this triple was built (3 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: Serra de Marina | Statement: [Monestir de Sant Jeroni de la Murtra, hasView, Serra de Marina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serra de Marina
Context triple: [Monestir de Sant Jeroni de la Murtra, hasView, Serra de Marina]
  • A. Serra de Aire
    Serra de Aire is a limestone mountain range in central Portugal, known for its karst landscapes, caves, and inclusion in the Serras de Aire e Candeeiros Natural Park.
  • B. Serra da Nave
    Serra da Nave is a mountainous area in northern Portugal that forms part of the natural landscape influencing the climate and viticulture of the Dão wine region.
  • C. Serra de Montemuro
    Serra de Montemuro is a mountain range in northern Portugal known for its rugged granite landscapes, traditional rural villages, and rich biodiversity.
  • D. Serra do Alvão
    Serra do Alvão is a mountainous natural area in northern Portugal known for its rugged granite landscapes, waterfalls, and inclusion in the Alvão Natural Park.
  • E. Serra da Amoreira
    Serra da Amoreira is a modest mountain ridge located within Portugal’s Odivelas Municipality, known locally as a natural elevation landmark in the surrounding landscape.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Serra de Marina
Target entity description: Serra de Marina is a coastal mountain range in Catalonia, Spain, forming part of the Catalan Coastal Range and overlooking the Barcelona metropolitan area.
  • A. Serra de Aire
    Serra de Aire is a limestone mountain range in central Portugal, known for its karst landscapes, caves, and inclusion in the Serras de Aire e Candeeiros Natural Park.
  • B. Serra da Nave
    Serra da Nave is a mountainous area in northern Portugal that forms part of the natural landscape influencing the climate and viticulture of the Dão wine region.
  • C. Serra de Montemuro
    Serra de Montemuro is a mountain range in northern Portugal known for its rugged granite landscapes, traditional rural villages, and rich biodiversity.
  • D. Serra do Alvão
    Serra do Alvão is a mountainous natural area in northern Portugal known for its rugged granite landscapes, waterfalls, and inclusion in the Alvão Natural Park.
  • E. Serra da Amoreira
    Serra da Amoreira is a modest mountain ridge located within Portugal’s Odivelas Municipality, known locally as a natural elevation landmark in the surrounding landscape.
  • F. None of above. chosen

Provenance (2 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1797590f08190a784f73fcd27b101 completed April 29, 2026, 3:22 a.m.
Created at: April 17, 2026, 3:23 p.m.