Triple

T16550804
Position Surface form Disambiguated ID Type / Status
Subject Mangualde E402065 entity
Predicate hasParish P35 FINISHED
Object Fornos de Maceira Dão
Fornos de Maceira Dão is a civil parish located in the municipality of Mangualde in central Portugal.
E1219464 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: Fornos de Maceira Dão | Statement: [Mangualde, hasParish, Fornos de Maceira Dão]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fornos de Maceira Dão
Context triple: [Mangualde, hasParish, Fornos de Maceira Dão]
  • A. Figueiró dos Vinhos
    Figueiró dos Vinhos is a municipality in central Portugal known for its forested landscapes, river beaches, and traditional rural character.
  • B. Quinta do Ramalhão
    Quinta do Ramalhão is a historic estate in Portugal known as the residence where Infanta Carlota Joaquina of Spain spent her final days.
  • C. Fornos de Algodres
    Fornos de Algodres is a Portuguese municipality known for its historic rural landscapes, traditional architecture, and location in the interior Centro region.
  • D. Arruda dos Vinhos
    Arruda dos Vinhos is a Portuguese municipality and wine-producing town located in the Lisbon metropolitan area.
  • E. Barreiro da Faneca
    Barreiro da Faneca is a locality in Portugal, likely a small settlement or geographic area whose name refers to a characteristic landscape or historical feature.
  • 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: Fornos de Maceira Dão
Triple: [Mangualde, hasParish, Fornos de Maceira Dão]
Generated description
Fornos de Maceira Dão is a civil parish located in the municipality of Mangualde in central Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fornos de Maceira Dão
Target entity description: Fornos de Maceira Dão is a civil parish located in the municipality of Mangualde in central Portugal.
  • A. Figueiró dos Vinhos
    Figueiró dos Vinhos is a municipality in central Portugal known for its forested landscapes, river beaches, and traditional rural character.
  • B. Quinta do Ramalhão
    Quinta do Ramalhão is a historic estate in Portugal known as the residence where Infanta Carlota Joaquina of Spain spent her final days.
  • C. Fornos de Algodres
    Fornos de Algodres is a Portuguese municipality known for its historic rural landscapes, traditional architecture, and location in the interior Centro region.
  • D. Arruda dos Vinhos
    Arruda dos Vinhos is a Portuguese municipality and wine-producing town located in the Lisbon metropolitan area.
  • E. Barreiro da Faneca
    Barreiro da Faneca is a locality in Portugal, likely a small settlement or geographic area whose name refers to a characteristic landscape or historical feature.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc451dc8190b571d5010f4017f4 completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b6ca44819085145eb48356e7b4 completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a00687d228081909d0a39f2c23d4e4d completed May 10, 2026, 11:14 a.m.
NED2 Entity disambiguation (via description) batch_6a006907419881909e8f71714bbe054a completed May 10, 2026, 11:16 a.m.
Created at: April 10, 2026, 5:15 a.m.