Triple

T15884421
Position Surface form Disambiguated ID Type / Status
Subject Beira Alta E385153 entity
Predicate terrainFeature P5378 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: [Beira Alta, terrainFeature, Serra da Estrela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serra da Estrela
Context triple: [Beira Alta, terrainFeature, 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561997bc8190a40e7d68defbbddd completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe6cd5a881908716f1dcf7d77004 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:51 a.m.