Triple

T22055539
Position Surface form Disambiguated ID Type / Status
Subject Ribatejo E544999 entity
Predicate borderedBy P224 FINISHED
Object Beira Baixa NE NERFINISHED

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: Beira Baixa | Statement: [Ribatejo, borderedBy, Beira Baixa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beira Baixa
Context triple: [Ribatejo, borderedBy, Beira Baixa]
  • A. Beira Baixa chosen
    Beira Baixa is a historical region in central Portugal known for its rugged landscapes, traditional villages, and cultural heritage.
  • B. Beira Interior
    Beira Interior is a historical region in central Portugal known for its mountainous landscapes, fortified towns, and long-standing cultural and agricultural traditions.
  • C. Alentejo
    Alentejo is a large, sparsely populated region in southern Portugal known for its rolling plains, cork oak forests, vineyards, and historic whitewashed towns.
  • D. Centro-Sul de Portugal
    Centro-Sul de Portugal is a broad geographic region in the southern-central part of Portugal that encompasses areas such as Alto Alentejo and is characterized by its Mediterranean landscapes, historic towns, and agricultural economy.
  • E. Alto Alentejo
    Alto Alentejo is a subregion in northern Alentejo, Portugal, known for its historic towns, rural landscapes, and traditional agriculture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285790948190b21abfb09abbb5e5 completed April 28, 2026, 9:36 p.m.
Created at: April 16, 2026, 8:26 p.m.