Triple

T15884416
Position Surface form Disambiguated ID Type / Status
Subject Beira Alta E385153 entity
Predicate partOf P40 FINISHED
Object Beiras E374222 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: Beiras | Statement: [Beira Alta, partOf, Beiras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beiras
Context triple: [Beira Alta, partOf, Beiras]
  • A. Beiras chosen
    Beiras is a traditional region in central Portugal known for its diverse landscapes, historic cities, and cultural heritage.
  • B. Buarcos
    Buarcos is a coastal civil parish and former fishing village in central Portugal, known for its long sandy beaches and historic fortifications, that forms part of the municipality of Figueira da Foz.
  • C. Cávado
    Cávado is an intermunicipal subregion in northern Portugal known for its coastal landscapes, river valleys, and historic cities such as Braga.
  • D. Sosúa
    Sosúa is a coastal town in the Dominican Republic known for its beaches, tourism, and historical Jewish refugee community.
  • E. Ribeira Brava
    Ribeira Brava is the main town and administrative center of the island of São Nicolau in Cape Verde, known for its coastal setting and colonial-era architecture.
  • 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_69ffa95651f88190a9aac72a667b999f completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.