Triple

T18925816
Position Surface form Disambiguated ID Type / Status
Subject Mafra E462967 entity
Predicate hasCivilParish P2739 FINISHED
Object Carvoeira
Carvoeira is a civil parish located in the municipality of Mafra in the Lisbon District of Portugal.
 E1349214 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: Carvoeira | Statement: [Mafra, hasCivilParish, Carvoeira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carvoeira
Context triple: [Mafra, hasCivilParish, Carvoeira]
  • A. Veiros
    Veiros is a small historic parish and village in the municipality of Estremoz, in Portugal’s Alentejo region.
  • B. Sertã
    Sertã is a municipality and town in central Portugal known for its forested landscapes, river beaches, and traditional cuisine.
  • C. 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.
  • D. Cordinhã
    Cordinhã is a civil parish located in the municipality of Cantanhede in the Coimbra District of central Portugal.
  • E. 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.
  • 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: Carvoeira
Triple: [Mafra, hasCivilParish, Carvoeira]
Generated description
Carvoeira is a civil parish located in the municipality of Mafra in the Lisbon District of Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carvoeira
Target entity description: Carvoeira is a civil parish located in the municipality of Mafra in the Lisbon District of Portugal.
  • A. Veiros
    Veiros is a small historic parish and village in the municipality of Estremoz, in Portugal’s Alentejo region.
  • B. Sertã
    Sertã is a municipality and town in central Portugal known for its forested landscapes, river beaches, and traditional cuisine.
  • C. 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.
  • D. Cordinhã
    Cordinhã is a civil parish located in the municipality of Cantanhede in the Coimbra District of central Portugal.
  • E. 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.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9b94e008190a0e9a70aaf6d18ed completed April 20, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05911b50a881909c3bf87dfedf99aa completed May 14, 2026, 9:08 a.m.
NEDg Description generation batch_6a0592ab1f948190b9e08fa514275fda completed May 14, 2026, 9:15 a.m.
NED2 Entity disambiguation (via description) batch_6a05930752c88190a07218a8af7c79ea completed May 14, 2026, 9:16 a.m.
Created at: April 10, 2026, 11:59 a.m.