Triple

T9299644
Position Surface form Disambiguated ID Type / Status
Subject Guarda District E223725 entity
Predicate containsMunicipality P852 FINISHED
Object Aguiar da Beira
Aguiar da Beira is a municipality in central Portugal known for its rural landscape, historical villages, and traditional granite architecture.
 E792447 NE FINISHED

How this triple was built (4 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: Aguiar da Beira | Statement: [Guarda District, containsMunicipality, Aguiar da Beira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aguiar da Beira
Context triple: [Guarda District, containsMunicipality, Aguiar da Beira]
  • A. Pedrógão
    Pedrógão is a civil parish located within the municipality of Vidigueira in Portugal’s Alentejo region.
  • B. Sernancelhe
    Sernancelhe is a municipality in northern Portugal known for its historic granite architecture, religious heritage, and scenic rural landscapes.
  • C. Seixas
    Seixas is a surname most notably associated with individuals of Portuguese and Sephardic Jewish heritage.
  • D. Eixão
    Eixão is a major central highway in Brasília, Brazil, known for its wide, high-speed lanes that run the length of the city’s main axis.
  • E. Barreiro
    Barreiro is a small village located on the Cape Verdean island of Maio.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aguiar da Beira
Triple: [Guarda District, containsMunicipality, Aguiar da Beira]
Generated description
Aguiar da Beira is a municipality in central Portugal known for its rural landscape, historical villages, and traditional granite architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aguiar da Beira
Target entity description: Aguiar da Beira is a municipality in central Portugal known for its rural landscape, historical villages, and traditional granite architecture.
  • A. Pedrógão
    Pedrógão is a civil parish located within the municipality of Vidigueira in Portugal’s Alentejo region.
  • B. Sernancelhe
    Sernancelhe is a municipality in northern Portugal known for its historic granite architecture, religious heritage, and scenic rural landscapes.
  • C. Seixas
    Seixas is a surname most notably associated with individuals of Portuguese and Sephardic Jewish heritage.
  • D. Eixão
    Eixão is a major central highway in Brasília, Brazil, known for its wide, high-speed lanes that run the length of the city’s main axis.
  • E. Barreiro
    Barreiro is a small village located on the Cape Verdean island of Maio.
  • F. None of above. chosen

Provenance (5 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_69ca8423edb08190bc0c91287a484768 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08d070c881908bed41aada6f85ae completed April 1, 2026, noon
NED1 Entity disambiguation (via context triple) batch_69d0e3924df4819095490983615b2aae completed April 4, 2026, 10:10 a.m.
NEDg Description generation batch_69d0e502b68081909a9f9476421ba9b5 completed April 4, 2026, 10:16 a.m.
NED2 Entity disambiguation (via description) batch_69d0e5af7360819096c6295de0ce5f32 completed April 4, 2026, 10:19 a.m.
Created at: March 30, 2026, 7:36 p.m.