Triple

T15568540
Position Surface form Disambiguated ID Type / Status
Subject Azambuja E374178 entity
Predicate hasParish P35 FINISHED
Object Aveiras de Cima
Aveiras de Cima is a civil parish in the municipality of Azambuja, in Portugal’s Lisbon District.
E1167822 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: Aveiras de Cima | Statement: [Azambuja, hasParish, Aveiras de Cima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aveiras de Cima
Context triple: [Azambuja, hasParish, Aveiras de Cima]
  • A. Aveiras de Baixo
    Aveiras de Baixo is a civil parish and small locality within the municipality of Azambuja in central Portugal.
  • B. Achada do Teixeira
    Achada do Teixeira is a popular mountain plateau and viewpoint in Madeira, Portugal, serving as a main access point for hikes into the island’s central highlands.
  • C. Vila-seca
    Vila-seca is a coastal municipality in Catalonia, Spain, known for its tourism, proximity to Tarragona, and educational facilities including a campus of Rovira i Virgili University.
  • D. Pinheiral
    Pinheiral is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and growing role as a regional educational and residential center.
  • E. Cabaceiras
    Cabaceiras is a historic town in the Brazilian state of Paraíba, known for its well-preserved colonial architecture and frequent use as a filming location for movies and television.
  • 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: Aveiras de Cima
Triple: [Azambuja, hasParish, Aveiras de Cima]
Generated description
Aveiras de Cima is a civil parish in the municipality of Azambuja, in Portugal’s Lisbon District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aveiras de Cima
Target entity description: Aveiras de Cima is a civil parish in the municipality of Azambuja, in Portugal’s Lisbon District.
  • A. Aveiras de Baixo
    Aveiras de Baixo is a civil parish and small locality within the municipality of Azambuja in central Portugal.
  • B. Achada do Teixeira
    Achada do Teixeira is a popular mountain plateau and viewpoint in Madeira, Portugal, serving as a main access point for hikes into the island’s central highlands.
  • C. Vila-seca
    Vila-seca is a coastal municipality in Catalonia, Spain, known for its tourism, proximity to Tarragona, and educational facilities including a campus of Rovira i Virgili University.
  • D. Pinheiral
    Pinheiral is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and growing role as a regional educational and residential center.
  • E. Cabaceiras
    Cabaceiras is a historic town in the Brazilian state of Paraíba, known for its well-preserved colonial architecture and frequent use as a filming location for movies and television.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f30e48881908b30a71796fe0d72 completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff605d94308190bccbfb4588f337e1 completed May 9, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69ff612340748190987e567e43460f62 completed May 9, 2026, 4:30 p.m.
Created at: April 10, 2026, 4:10 a.m.