Triple

T15570379
Position Surface form Disambiguated ID Type / Status
Subject Beiras E374222 entity
Predicate hasMountainRange P651 FINISHED
Object Serra da Estrela E210874 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: Serra da Estrela | Statement: [Beiras, hasMountainRange, Serra da Estrela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serra da Estrela
Context triple: [Beiras, hasMountainRange, Serra da Estrela]
  • A. Serra da Estrela chosen
    Serra da Estrela is the highest mountain range in mainland Portugal, known for its glacial landscapes, ski resort, and production of the traditional Serra da Estrela cheese.
  • B. Serra de São Mamede
    Serra de São Mamede is a mountainous natural park region in the Alentejo of eastern Portugal, known for its rich biodiversity, granite landscapes, and historic hilltop villages near the Spanish border.
  • C. Serra da Lousã
    Serra da Lousã is a mountain range in central Portugal known for its schist villages, dense forests, and popular hiking and nature tourism routes.
  • D. Serra de Santo António
    Serra de Santo António is a civil parish in the municipality of Alcanena in central Portugal, known for its karst landscapes and rural character.
  • E. Sintra Mountains
    The Sintra Mountains are a lush, rugged coastal range near Lisbon in Portugal, famed for their romantic palaces, misty forests, and dramatic granite outcrops overlooking the Atlantic Ocean.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e1de0488190b3639fc25f79d343 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0335a0c8190ade4c2f78df3d113 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:10 a.m.